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Full-Text Articles in Entire DC Network
A Systems Theory-Based Framework For Environmental Scanning In Complex System Governance, Dale E. Baugh
A Systems Theory-Based Framework For Environmental Scanning In Complex System Governance, Dale E. Baugh
Engineering Management & Systems Engineering Theses & Dissertations
The purpose of this research was to develop a Systems Theory-based framework for Environmental Scanning (ES) in Complex System Governance (CSG) using an inductive research design. Complexity and uncertainty are normal for external environments in which today’s systems (organizations) exist. These environmental characteristics provide impetus for researchers to focus on organizational planning for disruptive external forces that could threaten system stability and future system existence. The ES function supports the requisite governance metasystemic functions to be enabled, executed, and evolved sufficiently well to promote continuous system viability. In this research the functioning of ES was examined from a diverse literature-based …
Machine Learning-Based Event Generator, Yasir Alanazi
Machine Learning-Based Event Generator, Yasir Alanazi
Computer Science Theses & Dissertations
Monte Carlo-based event generators have been the primary source for simulating particle collision experiments for the study of interesting physics scenarios. Monte Carlo generators rely on theoretical assumptions, which limit their ability to capture the full range of possible correlations between particle’s momenta. In addition, the simulations of the complete pipeline often take minutes to generate a single event even with the help of supercomputers.
In recent years, much attention has been devoted to the development of machine learning event generators. They demonstrate attractive advantages, including fast simulations, data compression, and being agnostic of theoretical assumptions. However, most of the …
A Dialogical Approach To Peer Coaching For Asset Pedagogies, Elisabeth Van Beek
A Dialogical Approach To Peer Coaching For Asset Pedagogies, Elisabeth Van Beek
Dissertations
The purpose of this study was to understand how dialogical peer coaching using an asset pedagogical framework supported the development of culturally sustaining pedagogy (Gay, 2000; Ladson-Billings, 1994; Paris & Alim, 2017). This action research study followed one teacher and eight emergent bilingual students during an intervention. The intervention consisted of asset projects developed from the funds of identity framework (Esteban-Guitart, 2016). The peer coaching process consisted of a period of observation followed by repeated co-planning, coteaching, and reflection. The researcher took a dialogical stance on creating asset projects with the students as well as peer coaching with the teacher …
The Graduate Record Examination And Graduate Admissions: Issues In Diversity, Lauren Rankin
The Graduate Record Examination And Graduate Admissions: Issues In Diversity, Lauren Rankin
Dissertations
Doctoral education is an expensive and difficult endeavor. Program faculty are interested in finding students who will be successful in completing their courses and obtaining employment. The Graduate Record Examination (GRE) is often used to assess a student’s readiness for the rigors of graduate education. A student’s readiness for doctoral education can be assessed through analyzing the predictive validity of the GRE with various outcomes such as grade point average, scholarly output, and time to completion. However, this measure may not predict success for all students with potential bias towards students who are international and linguistically diverse. A total of …
Mathematical Knowledge For Teaching As Decision-Making For The University Mathematician Developing Coherence In Review Of Discrete Mathematics, Julie Lang
Dissertations
Mathematicians teaching at the university level have a deep understanding and appreciation for the mathematics that they teach. However, they rarely receive much formal training in teaching. Thus, university mathematicians must rely on their mathematical understandings and personally developed ideas of teaching to guide their decision-making. Relatively little research exists on mathematicians’ teaching practices. The purpose of this study was to examine the mathematical knowledge for teaching (MKT) of a university mathematician teaching discrete mathematics and how he leveraged his knowledge to make decisions and develop coherence among mathematical ideas during a semester review. An enactivist perspective examining a mathematician’s …
Middle School Students’ Perceptions, Experiences, And Behaviors Towards Using A Virtual Reality Application To Build Molecules, Dalal Za'al Ali Alrmuny
Middle School Students’ Perceptions, Experiences, And Behaviors Towards Using A Virtual Reality Application To Build Molecules, Dalal Za'al Ali Alrmuny
Dissertations
To deliver successful integration of virtual reality (VR) technology into chemistry education, it is essential that students have clear and positive perceptions about the purpose and the value of such integration. An important part of establishing a plan for integrating virtual reality technology into chemistry education is to explore the current perceptions, experiences, and behaviors of students towards the use of VR technology to establish an initial baseline of skills and areas in need of development. The purpose of this exploratory mixed methods study was to explore the perceptions, experiences, and behaviors of 62 middle school students in the state …
An Ensemble Machine Learning Approach To Causal Inference In High-Dimensional Settings, Sami Saad Alanazi
An Ensemble Machine Learning Approach To Causal Inference In High-Dimensional Settings, Sami Saad Alanazi
Dissertations
The machine-learning algorithms have gained popularity and have gotten the attention of many researchers in the fields of statistics and computer sciences in recent decades. Due to their computational capabilities in big data, many researchers have been attempting to incorporate machine-learning in prediction and inference problems. One of the recent methods that got a lot of attentions was referred to as the double machine learning method (DML). This method attempts to estimate the effect of the treatment variable in the presence of high-dimensional nuisance function by incorporating machine-learning algorithms. Previous studies have shown that the DML method is able to …
Estimating The Distribution Of Ratio Of Paired Event Times In Phase Ii Oncology Trials, Li Chen, Mark Burkard, Jianrong Wu, Jill M. Kolesar, Chi Wang
Estimating The Distribution Of Ratio Of Paired Event Times In Phase Ii Oncology Trials, Li Chen, Mark Burkard, Jianrong Wu, Jill M. Kolesar, Chi Wang
Markey Cancer Center Faculty Publications
With the rapid development of new anti-cancer agents which are cytostatic, new endpoints are needed to better measure treatment efficacy in phase II trials. For this purpose, Von Hoff (1998) proposed the growth modulation index (GMI), that is, the ratio between times to progression or progression-free survival times in two successive treatment lines. An essential task in studies using GMI as an endpoint is to estimate the distribution of GMI. Traditional methods for survival data have been used for estimating the GMI distribution because censoring is common for GMI data. However, we point out that the independent censoring assumption required …
The Effect Of Numeracy And Math Anxiety On Whole Number Bias, Jasmine Jessica Leanna Bonsel
The Effect Of Numeracy And Math Anxiety On Whole Number Bias, Jasmine Jessica Leanna Bonsel
Electronic Theses, Projects, and Dissertations
Whole number bias (WNB) has been defined as the tendency to apply natural number knowledge to rational numbers. This misapplication can often lead to erroneous responses in mathematical tasks and understanding of rational number properties. Whole number bias can be explored using Dual Processing Theories. According to Dual Processing Theory we have two types of thinking: Type I and Type II. Type I is fast, heuristic based, intuitive, and doesn’t require working memory, while Type II is slow, logic based, analytical, and requires working memory. Some researchers argue that WNB is an intuitive phenomenon and occurs from a failure to …
Fossil Mammals From Hickory Tree Cave, Sullivan County, Tennessee, Alexis Rivera
Fossil Mammals From Hickory Tree Cave, Sullivan County, Tennessee, Alexis Rivera
Electronic Theses and Dissertations
Hickory Tree Cave, also known as Big Spring Cave, is located in the southern Appalachians and is known for fossils that are considered to be Quaternary in age. Fossil mammals were identified and assigned to the lowest taxonomical level possible. Most remains are fragmented or digested and it seems likely that various taphonomic processes are responsible for the resulting assemblage. The site lacks the extreme boreal component of Pleistocene cave faunas in the region (e.g. Baker Bluff Cave), with most reported taxa inhabiting Appalachian deciduous forest environments in North America today. While the presence of tapir (Tapirus sp.) …
Community College Faculty’S Perceptions Of Culturally Responsive Teaching, Sarah Tolbert-Hurysz
Community College Faculty’S Perceptions Of Culturally Responsive Teaching, Sarah Tolbert-Hurysz
Electronic Theses and Dissertations
This qualitative study sought to understand community college faculty’s perceptions of and experiences with culturally responsive teaching. Participants were full- and part-time faculty currently employed at community colleges in the Southeastern United States and purposefully selected to provide information-rich data. Data collected from the semi-structured, in-depth interviews with the participants were coded and thematically analyzed. Emerging themes included faculty’s inclusion of varied categories of cultural diversity when describing students; limited knowledge related to culturally responsive teaching; perception that culturally responsive teaching is centered on connecting and building relationships with students; belief in the value of providing students exposure to different …
Opinion Mining Of Bird Preference In Wildlife Parks, Isiwat Adenopo
Opinion Mining Of Bird Preference In Wildlife Parks, Isiwat Adenopo
Electronic Theses and Dissertations
Opinion Mining is becoming the fastest growing area to extract useful and insightful information to support decision making. In the age of social media, user’s opinions and discussions have become a highly valuable source to look for users preferences, likes, and dislikes.
The industry of wildlife parks (or zoos) is a competitive domain that requires careful analysis of visitor’s opinions to understand and cater for their preferences when it comes to wildlife. In this thesis, an opinion mining approach was proposed and applied on textual posts on the social media platform, Twitter, to extract the popularity, polarity (sentiment), and emotions …
Importance Of The Microhabitat And Microclimate Conditions In The Northern Gray-Cheeked Salamander (Plethodon Montanus) Across An Elevation Gradient, Trevor Chapman
Electronic Theses and Dissertations
The southern Appalachian Mountains have among the highest salamander diversity in the world, largely due to local speciation in the family Plethodontidae. Plethodontid salamanders (i.e., lungless salamanders) are particularly sensitive to habitat climate conditions due to their reliance on cutaneous respiration, and their immediate environmental conditions (microhabitat) likely influence their dispersion and activity more than the large-scale atmospheric conditions. The Northern Gray-cheeked salamander (Plethodon montanus) is restricted to high elevations in the Appalachian Mountains. Our goal was to investigate the relationship between P. montanus and its microhabitat by examining behavioral preference for climatic conditions, characterizing the microclimate with …
Perceptions Of Middle School Teachers Regarding Differentiation Instruction, Karen Mclerran
Perceptions Of Middle School Teachers Regarding Differentiation Instruction, Karen Mclerran
Electronic Theses and Dissertations
The purpose of this qualitative phenomenological study was to examine the perceptions of middle school teachers regarding differentiation of instruction for students with mild to moderate disabilities. Although there has been little documentation in the literature regarding instructional differentiation five factors that facilitate change have been identified in the framework.
Data collection strategies included one-on-one semi-structured interviews and questionnaires. Analysis of data occurred in three phases: (a) transcribing interviews, (b) member checking of the transcripts, (c) coding-recoding of the data. The analysis of data was based on the theoretical proposition that student achievement, positive behaviors, and increased learner motivation fosters …
Framework For The Use Of Extended Reality Modalities In Aec Education, Barbara Oliveira Spitzer, Jae Hoon Ma, Ece Erdogmus, Ben Kreimer, Erica Ryherd, Heidi Diefes-Dux
Framework For The Use Of Extended Reality Modalities In Aec Education, Barbara Oliveira Spitzer, Jae Hoon Ma, Ece Erdogmus, Ben Kreimer, Erica Ryherd, Heidi Diefes-Dux
Department of Agricultural and Biological Systems Engineering: Faculty Publications
The educational applications of extended reality (XR) modalities, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), have increased significantly over the last ten years. Many educators within the Architecture, Engineering, and Construction (AEC) related degree programs see student benefits that could be derived from bringing these modalities into classrooms, which include but are not limited to: a better understanding of each of the subdisciplines and the coordination necessary between them, visualizing oneself as a professional in AEC, and visualization of difficult concepts to increase engagement, self-efficacy, and learning. These benefits, in turn, help recruitment and retention efforts …
Context And Content Of Teaching Conversations: Exploring How To Promote Sharing Of Innovative Teaching Knowledge Between Science Faculty, A. Kelly Lane, Brittnee Earl, Stephanie Feola, Jennifer E. Lewis, Jacob D. Mcalpin, Karl Mertens, Susan E. Shadle, John Skvoretz, John P. Ziker, Marilyne Stains, Brian A. Couch, Luanna B. Prevost
Context And Content Of Teaching Conversations: Exploring How To Promote Sharing Of Innovative Teaching Knowledge Between Science Faculty, A. Kelly Lane, Brittnee Earl, Stephanie Feola, Jennifer E. Lewis, Jacob D. Mcalpin, Karl Mertens, Susan E. Shadle, John Skvoretz, John P. Ziker, Marilyne Stains, Brian A. Couch, Luanna B. Prevost
School of Biological Sciences: Faculty Publications
Background: Change strategies may leverage interpersonal relationships and conversations to spread teaching innovations among science faculty. Knowledge sharing refers to the process by which individuals transfer information and thereby spread innovative ideas within an organization. We use knowledge sharing as a lens for identifying factors that encourage productive teaching-related conversations between individuals, characterizing the context and content of these discussions, and understanding how peer interactions may shape instructional practices. In this study, we interview 19 science faculty using innovative teaching practices about the teaching-focused conversations they have with different discussion partners.
Results: This qualitative study describes characteristics of …
Divergent Serpentoviruses In Free-Ranging Invasive Pythons And Native Colubrids In Southern Florida, United States, Steven B. Tillis, Jillian M. Josimovich, Melissa A. Miller, Laura L. Hoon-Hanks, Arik M. Hartmann, Natalie M. Claunch, Marley E. Iredale, Tracey D. Logan, Amy A. Yackel Adams, Ian A. Bartoszek, John S. Humphrey, Bryan M. Kluever, Mark D. Stenglein, Robert N. Reed, Christina M. Romagosa, James F.X. Wellehan, Robert J. Ossiboff
Divergent Serpentoviruses In Free-Ranging Invasive Pythons And Native Colubrids In Southern Florida, United States, Steven B. Tillis, Jillian M. Josimovich, Melissa A. Miller, Laura L. Hoon-Hanks, Arik M. Hartmann, Natalie M. Claunch, Marley E. Iredale, Tracey D. Logan, Amy A. Yackel Adams, Ian A. Bartoszek, John S. Humphrey, Bryan M. Kluever, Mark D. Stenglein, Robert N. Reed, Christina M. Romagosa, James F.X. Wellehan, Robert J. Ossiboff
United States Department of Agriculture Wildlife Services: Staff Publications
Burmese python (Python bivittatus) is an invasive snake that has significantly affected ecosystems in southern Florida, United States. Aside from direct predation and competition, invasive species can also introduce nonnative pathogens that can adversely affect native species. The subfamily Serpentovirinae (order Nidovirales) is composed of positive-sense RNA viruses primarily found in reptiles. Some serpentoviruses, such as shingleback nidovirus, are associated with mortalities in wild populations, while others, including ball python nidovirus and green tree python nidovirus can be a major cause of disease and mortality in captive animals. To determine if serpentoviruses were present in invasive Burmese …
Can We Efficiently Help Adults Strengthen Their Relational Practice?, Tom Akiva, Annie M. White, Sharon Colvin, Junlei Li, Peter Wardrip
Can We Efficiently Help Adults Strengthen Their Relational Practice?, Tom Akiva, Annie M. White, Sharon Colvin, Junlei Li, Peter Wardrip
Journal of Youth Development
Human interactions across settings shape young people’s learning and development, and building adult expertise in facilitating productive interactions takes deliberate practice and reflective experience. However, relational practices are not consistently part of adult learning for those who work with youth. We describe a 2-year design study to develop the Simple Interactions Leadership Program, a professional learning workshop focused on relational practices. We refined the program across 3 iterations with library and after-school staff (with a total of 41 participants). Iterative changes included adding participant-driven “try-it-out” projects, adding external accountability features, and combining staff from the library and after-school sectors. Using …
“This Isn't Working For Me. Can We Do It A Different Way?" The Lived Experiences Of Geoscience Students With Learning Disabilities, Nina Morris
Masters Theses
The purpose of this exploratory qualitative study is to better understand the lived experiences of geoscience students with learning disabilities in their geoscience classes. Students with learning disabilities bring a unique perspective while also facing unique challenges in post-secondary education. In the literature, there is limited information on what support and teaching strategies are beneficial to this population. Undergraduate and graduate geoscience students who identify as having a learning disability from colleges and universities in the United States were recruited. Six students consented to participate in the study, and each completed a semi-structured interview. Semi-structured interviews were designed to prompt …
Exploring The Effects Of Tree Roots On Infiltration Process, Nazife Onaral
Exploring The Effects Of Tree Roots On Infiltration Process, Nazife Onaral
Masters Theses
Effects of the root structures on soil infiltration dynamics are not clearly defined. Imaging the complex tree root structures and movement of water through the root ball is a challenging task to achieve without damaging the trees and roots by conventional methods. Commonly used methods are invasive, labor-intensive, and not easily accessible. Ground Penetrating Radar (GPR) has commonly been used to characterize soil profiles and it can be a reliable tool to map complex root structures with a novel high-resolution circular data collection technique. Electrical resistivity tomography (ERT) is another reliable geophysical method to image infiltration processes by the change …
Rapid Metabolism Fosters Microbial Survival In The Deep, Hot Subseafloor Biosphere, F. Beulig, F. Schubert, R. R. Adhikari, C. Glombitza, V. B. Heuer, K. U. Hinrichs, K. L. Homola, F. Inagaki, B. B. Jørgensen, J. Kallmeyer, S. J.E. Krause, Y. Morono, J. Sauvage, A. J. Spivack, T. Treude
Rapid Metabolism Fosters Microbial Survival In The Deep, Hot Subseafloor Biosphere, F. Beulig, F. Schubert, R. R. Adhikari, C. Glombitza, V. B. Heuer, K. U. Hinrichs, K. L. Homola, F. Inagaki, B. B. Jørgensen, J. Kallmeyer, S. J.E. Krause, Y. Morono, J. Sauvage, A. J. Spivack, T. Treude
Graduate School of Oceanography Faculty Publications
A fourth of the global seabed sediment volume is buried at depths where temperatures exceed 80 °C, a previously proposed thermal barrier for life in the subsurface. Here, we demonstrate, utilizing an extensive suite of radiotracer experiments, the prevalence of active methanogenic and sulfate-reducing populations in deeply buried marine sediment from the Nankai Trough subduction zone, heated to extreme temperature (up to ~120 °C). The small microbial community subsisted with high potential cell-specific rates of energy metabolism, which approach the rates of active surface sediments and laboratory cultures. Our discovery is in stark contrast to the extremely low metabolic rates …
An Analysis Of Uk Swap Yields, Tanweer Akram, Khawaja Mamun
An Analysis Of Uk Swap Yields, Tanweer Akram, Khawaja Mamun
WCBT Working Papers
John Maynard Keynes argued that the central bank influences the long-term interest rate through the effect of its policy rate on the short-term interest rate. However, Keynes’s claim was confined to the behavior of the long-term government bond yield. This paper investigates whether Keynes’s claim holds for the yields of spread products and over-the-counter financial derivatives by econometrically modeling the dynamics of the pound sterling–denominated longterm interest rate swap yield. It uses the generalized autoregressive conditional heteroskedasticity (GARCH) modeling approach to examine the relationship between the month-over-month changes in the short-term swap yield and the month-over-month change in the long-term …
Montclair Magazine (Fall/Winter 2022), Montclair State University
Montclair Magazine (Fall/Winter 2022), Montclair State University
Montclair: The magazine of Montclair State University
No abstract provided.
Fitness Of Interspecific Hybrids In The Genus Cyprinella: An Evaluation Of Swimming Performance In North American Stream Fishes, Jessica Wilks
Fitness Of Interspecific Hybrids In The Genus Cyprinella: An Evaluation Of Swimming Performance In North American Stream Fishes, Jessica Wilks
Biology Theses
Due to anthropogenic pressures, freshwater ecosystems are being rapidly destroyed worldwide. Accordingly, human impacts have also resulted in the loss of native aquatic biodiversity. In particular, the introduction of non-native species to aquatic habitats is of great concern. Historically, the introductions of many non-native freshwater fishes are the result of commercial baitfish aquaculture, food industries, and private aquarium release. The red shiner (Cyprinella lutrensis) is a small stream fish that is endemic to the Central U.S., and its natural range is restricted to East of the Mississippi River. Since the 1950’s, red shiner have been commercially raised and transported …
Doxorubicin-Induced Cardiotoxicity Is Mediated By Neutrophils Through Release Of Neutrophil Elastase, Anchit Bhagat
Doxorubicin-Induced Cardiotoxicity Is Mediated By Neutrophils Through Release Of Neutrophil Elastase, Anchit Bhagat
Dissertations and Theses (Open Access)
Doxorubicin (Dox) is one of the most effective chemotherapy agents that is used for the treatment of childhood cancer. Unfortunately Dox treatment can cause damage to the heart. Indeed, childhood cancer survivors are at a higher risk of developing a cardiovascular disease at an earlier age. The mechanisms by which Dox causes acute and late cardiotoxicity are not completely understood. One understudied area in Dox-induced cardiotoxicity is the contribution of inflammation and innate immune cells, in particular neutrophils. Recognizing that neutrophils have been implicated in a number of heart diseases, we evaluated the role of neutrophils in Dox-induced cardiotoxicity. Here, …
Dietary And Complementary Feeding Practices Of Us Infants, 6 To 12 Months: A Narrative Review Of The Federal Nutrition Monitoring Data, Regan L Bailey, Jaime S Stang, Teresa A Davis, Timothy S Naimi, Barbara O Schneeman, Kathryn G Dewey, Sharon M Donovan, Rachel Novotny, Ronald E Kleinman, Elsie M Taveras, Lydia Bazzano, Linda G Snetselaar, Janet De Jesus, Kellie O Casavale, Eve E Stoody, Joseph D Goldman, Alanna J Moshfegh, Donna G Rhodes, Kirsten A Herrick, Kristin Koegel, Cria G Perrine, Tusarebecca Pannucci
Dietary And Complementary Feeding Practices Of Us Infants, 6 To 12 Months: A Narrative Review Of The Federal Nutrition Monitoring Data, Regan L Bailey, Jaime S Stang, Teresa A Davis, Timothy S Naimi, Barbara O Schneeman, Kathryn G Dewey, Sharon M Donovan, Rachel Novotny, Ronald E Kleinman, Elsie M Taveras, Lydia Bazzano, Linda G Snetselaar, Janet De Jesus, Kellie O Casavale, Eve E Stoody, Joseph D Goldman, Alanna J Moshfegh, Donna G Rhodes, Kirsten A Herrick, Kristin Koegel, Cria G Perrine, Tusarebecca Pannucci
Children’s Nutrition Research Center Staff Publications
Complementary foods and beverages (CFBs) are key components of an infant’s diet in the second 6 months of life. This article summarizes nutrition and feeding practices examined by the 2020 Dietary Guidelines Advisory Committees during the CFB life stage. Breastfeeding initiation is high (84%), but exclusive breastfeeding at 6 months (26%) is below the Healthy People 2030 goal (42%). Most infants (51%) are introduced to CFBs sometime before 6 months. The primary mode of feeding (ie, human milk fed [HMF]; infant formula or mixed formula and human milk fed [FMF]) at the initiation of CFBs is associated with the timing …
Assessment Design For Digital Education: An Analytics-Based Authentic Assessment Approach, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong, Christopher Pang, Jun Wei Ng
Assessment Design For Digital Education: An Analytics-Based Authentic Assessment Approach, Lim Ming Soon Tristan, Gottipati Swapna, Michelle L. F. Cheong, Christopher Pang, Jun Wei Ng
Research Collection School Of Computing and Information Systems
This study looks to identify an assessment design construct that overcomes known issues in authentic assessment design practices in digital education. These include lack of "freedom-of-choice", lack of focus on multimodal nature of the digital process, and shortage of effective feedbacks. This study proposes an authentic assessment, that combines gamification (G) with heutagogy (H) and multimodality (M) of assessments, building upon learning analytics (A), known as GHMA. Proposed assessment design is a skills-oriented game-based assessment approach. Learners can determine their own goals and create individualized multimodal artefacts; receive cognitive challenge through cognitively complex tasks structured in gamified non-linear learning paths; …
Learning Dynamic Multimodal Implicit And Explicit Networks For Multiple Financial Tasks, Meng Kiat Gary Ang, Ee-Peng Lim
Learning Dynamic Multimodal Implicit And Explicit Networks For Multiple Financial Tasks, Meng Kiat Gary Ang, Ee-Peng Lim
Research Collection School Of Computing and Information Systems
Many financial f orecasting d eep l earning w orks focus on the single task of predicting stock returns for trading with unimodal numerical inputs. Investment and risk management however involves multiple financial t asks - f orecasts o f expected returns, risks and correlations of multiple stocks in portfolios, as well as important events affecting different stocks - to support decision making. Moreover, stock returns are influenced by large volumes of non-stationary time-series information from a variety of modalities and the propagation of such information across inter-company relationship networks. Such networks could be explicit - observed co-occurrences in online …
An Efficient Annealing-Assisted Differential Evolution For Multi-Parameter Adaptive Latent Factor Analysis, Qing Li, Guansong Pang, Mingsheng Shang
An Efficient Annealing-Assisted Differential Evolution For Multi-Parameter Adaptive Latent Factor Analysis, Qing Li, Guansong Pang, Mingsheng Shang
Research Collection School Of Computing and Information Systems
A high-dimensional and incomplete (HDI) matrix is a typical representation of big data. However, advanced HDI data analysis models tend to have many extra parameters. Manual tuning of these parameters, generally adopting the empirical knowledge, unavoidably leads to additional overhead. Although variable adaptive mechanisms have been proposed, they cannot balance the exploration and exploitation with early convergence. Moreover, learning such multi-parameters brings high computational time, thereby suffering gross accuracy especially when solving a bilinear problem like conducting the commonly used latent factor analysis (LFA) on an HDI matrix. Herein, an efficient annealing-assisted differential evolution for multi-parameter adaptive latent factor analysis …
Segment-Wise Time-Varying Dynamic Bayesian Network With Graph Regularization, Xing Yang, Chen Zhang, Baihua Zheng
Segment-Wise Time-Varying Dynamic Bayesian Network With Graph Regularization, Xing Yang, Chen Zhang, Baihua Zheng
Research Collection School Of Computing and Information Systems
Time-varying dynamic Bayesian network (TVDBN) is essential for describing time-evolving directed conditional dependence structures in complex multivariate systems. In this article, we construct a TVDBN model, together with a score-based method for its structure learning. The model adopts a vector autoregressive (VAR) model to describe inter-slice and intra-slice relations between variables. By allowing VAR parameters to change segment-wisely over time, the time-varying dynamics of the network structure can be described. Furthermore, considering some external information can provide additional similarity information of variables. Graph Laplacian is further imposed to regularize similar nodes to have similar network structures. The regularized maximum a …