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Articles 8191 - 8220 of 10509
Full-Text Articles in Entire DC Network
Capir: Collaborative Action Planning With Intention Recognition, Nguyen T., Hsu D., Lee W., Tze-Yun Leong, Kaelbling L., Lozano-Perez T., Grant A.
Capir: Collaborative Action Planning With Intention Recognition, Nguyen T., Hsu D., Lee W., Tze-Yun Leong, Kaelbling L., Lozano-Perez T., Grant A.
Research Collection School Of Computing and Information Systems
We apply decision theoretic techniques to construct nonplayer characters that are able to assist a human player in collaborative games. The method is based on solving Markov decision processes, which can be difficult when the game state is described by many variables. To scale to more complex games, the method allows decomposition of a game task into subtasks, each of which can be modelled by a Markov decision process. Intention recognition is used to infer the subtask that the human is currently performing, allowing the helper to assist the human in performing the correct task. Experiments show that the method …
Discussion Of "Biomedical Ontologies: Toward Scientific Debate", Brochhausen M., Burgun A., Ceusters W., Hasman A., Tze-Yun Leong, Musen M., Oliveira J., Peleg M., Rector A., Schulz S.
Discussion Of "Biomedical Ontologies: Toward Scientific Debate", Brochhausen M., Burgun A., Ceusters W., Hasman A., Tze-Yun Leong, Musen M., Oliveira J., Peleg M., Rector A., Schulz S.
Research Collection School Of Computing and Information Systems
With these comments on the paper “Biomedical Ontologies: Toward scientific debate”, written by Victor Maojo et al., Methods of Information in Medicine wants to stimulate a discussion on advantages and challenges of biomedical ontologies. An international group of experts have been invited by the editor of Methods to comment on this paper. Each of the invited commentaries forms one section of this paper.
Assessing The Impact Of Recommendation Agents On On-Line Consumer Unplanned Purchase Behavior, R. Eric Hostler, Victoria Y. Yoon, Zhiling Guo, Tor Guimaraes, Guisseppi Forgionne
Assessing The Impact Of Recommendation Agents On On-Line Consumer Unplanned Purchase Behavior, R. Eric Hostler, Victoria Y. Yoon, Zhiling Guo, Tor Guimaraes, Guisseppi Forgionne
Research Collection School Of Computing and Information Systems
Recommendation agents (RAs) have been used by many Internet businesses such as Amazon and Netflix. However, few authors have studied how consumer behavior is affected by those that make suggestions to online consumers based on their recent shopping behavior. Fewer still have examined the role that RAs play in influencing impulse purchasing decisions online. Our study developed a theoretical model to illustrate the impact of RAs on online consumer behavior. The model was tested through an online shopping simulation which used a collaborative filtering based product RA. Particular attention was paid to the effects of an RA on consumer behavior; …
Sire: A Social Image Retrieval Engine, Steven C. H. Hoi, Pengcheng Wu
Sire: A Social Image Retrieval Engine, Steven C. H. Hoi, Pengcheng Wu
Research Collection School Of Computing and Information Systems
With the explosive growth of social media applications on the internet, billions of social images have been made available in many social media web sites nowadays. This has presented an open challenge of web-scale social image search. Unlike existing commercial web search engines that often adopt text based retrieval, in this demo, we present a novel web-based multimodal paradigm for large-scale social image retrieval, termed "Social Image Retrieval Engine" (SIRE), which effectively exploits both textual and visual contents to narrow down the semantic gap between high-level concepts and low-level visual features. A relevance feedback mechanism is also equipped to learn …
Agile Innovation Management, Arcot Desai Narasimhalu
Agile Innovation Management, Arcot Desai Narasimhalu
Research Collection School Of Computing and Information Systems
The volume and velocity of innovations are on the increase resulting in increased pressures on every company for attaining, retaining and increasing its market leadership. Many companies need to retool their innovation management processes to address two agility related objectives in order to survive and grow in such a rapidly changing innovation environment. The first objective would be the ability to assemble an innovation team within the shortest possible time. This can only be satisfied by companies that are capable of forming innovation teams rather quickly. The related second objective would be to reduce the I2M (Idea to Market) cycle …
Launching Return-Oriented Programming Attacks Against Randomized Relocatable Executables, Limin Liu, Jin Han, Debin Gao, Jiwu Jing, Daren Zha
Launching Return-Oriented Programming Attacks Against Randomized Relocatable Executables, Limin Liu, Jin Han, Debin Gao, Jiwu Jing, Daren Zha
Research Collection School Of Computing and Information Systems
Since the day it was proposed, return-oriented programming has shown to be an effective and powerful attack technique against the write or execute only (W ⊕ X) protection. However, a general belief in the previous research is, systems deployed with address space randomization where the executables are also randomized at run-time are able to defend against return-oriented programming, as the addresses of all instructions are randomized. In this paper, we show that due to the weakness of current address space randomization technique, there are still ways of launching return-oriented programming attacks against those well-protected systems efficiently. We demonstrate and evaluate …
A Model Checking Framework For Hierarchical Systems., Truong Khanh Nguyen, Jun Sun, Yang Liu, Jin Song Dong
A Model Checking Framework For Hierarchical Systems., Truong Khanh Nguyen, Jun Sun, Yang Liu, Jin Song Dong
Research Collection School Of Computing and Information Systems
BDD-based symbolic model checking is capable of verifying systems with a large number of states. In this work, we report an extensible framework to facilitate symbolic encoding and checking of hierarchical systems. Firstly, a novel library of symbolic encoding functions for compositional operators (e.g., parallel composition, sequential composition, choice operator, etc.) are developed so that users can apply symbolic model checking techniques to hierarchical systems with little knowledge of symbolic encoding techniques (like BDD or CUDD). Secondly, as the library is language-independent, we build an extensible framework with various symbolic model checking algorithms so that the library can be easily …
Search-Based Fault Localization, Shaowei Wang, David Lo, Lingxiao Jiang, - Lucia, Hoong Chuin Lau
Search-Based Fault Localization, Shaowei Wang, David Lo, Lingxiao Jiang, - Lucia, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
Many spectrum-based fault localization measures have been proposed in the literature. However, no single fault localization measure completely outperforms others: a measure which is more accurate in localizing some bugs in some programs is less accurate in localizing other bugs in other programs. This paper proposes to compose existing spectrum-based fault localization measures into an improved measure. We model the composition of various measures as an optimization problem and present a search-based approach to explore the space of many possible compositions and output a heuristically near optimal composite measure. We employ two search-based strategies including genetic algorithm and simulated annealing …
No Fear: Leadership, "Digital Cowboys" And The "Playstation Generation", Singapore Management University
No Fear: Leadership, "Digital Cowboys" And The "Playstation Generation", Singapore Management University
Perspectives@SMU
Finnish entrepreneur Pekka Viljakainen would be considered as successful by most measures. At only 38 years of age, he has managed a staff of 8,000 across 20 countries from Munich. His information technology (IT) consultancy, Oy Visual Systems, had merged with Tieto, another European IT firm, and Viljakainen was made executive vice-president.
Measuring Social Networks For Real-Time Competitive Advantage, Singapore Management University
Measuring Social Networks For Real-Time Competitive Advantage, Singapore Management University
Perspectives@SMU
Social networks offer up a goldmine of information just waiting to be exploited. For the first time, human relationships, comments and activities are documented quite publicly on platforms like Facebook and Twitter. Save for privacy concerns, never before has it been easier to know what people think, what they like, and to whom they are connected.
A Visual Analytics System For Metropolitan Transportation, Siyuan Liu, Ce Liu, Qiong Luo, Lionel M. Ni, Huamin Qu
A Visual Analytics System For Metropolitan Transportation, Siyuan Liu, Ce Liu, Qiong Luo, Lionel M. Ni, Huamin Qu
LARC Research Publications
With the increasing availability of metropolitan transportation data, such as those from vehicle GPSs (Global Positioning systems) and road-side sensors, it becomes viable for authorities, operators, as well as individuals to analyze the data for a better understanding of the transportation system and possibly improved utilization and planning of the system. We report our experience in building the VAST (Visual Analytics for Smart Transportation) system. Our key observation is that metropolitan transportation data are inherently visual as they are spatiotemporal around road networks. Therefore, we visualize traffic data together with digital maps and support analytical queries through this interactive visual …
Measuring Social Networks For Real-Time Competitive Advantage, Knowledge@Smu
Measuring Social Networks For Real-Time Competitive Advantage, Knowledge@Smu
Knowledge@SMU
Social networks offer up a goldmine of information. Save for privacy concerns, it has never before been easier for researchers to understand the needs and wants of their subjects or to examine links between the likes and dislikes of connected individuals. Going beyond the report of human quirks over the internet, however, web 2.0 data has practical uses too, especially for professionals in finance and marketing. At the 3rd International Conference on Social Informatics, hosted by SMU's School of Information Systems, academics discussed the hurdles and real-world benefits of data mining.
Custodes Invicem Custodiunt: Commitment Through Competition, Madhav S. Aney, Giovanni Ko
Custodes Invicem Custodiunt: Commitment Through Competition, Madhav S. Aney, Giovanni Ko
Research Collection School Of Economics
How can specialists in violence, such as the military or the police, commit not to expropriate from producers? In this paper we propose competition between these agents as one of the mechanisms that can deter predation. In our model, even if specialists in violence could expropriate all output costlessly, it is attractive to protect producers from predators. This is because there is a marginal defensive advantage and consequently defense is an effective way to potentially eliminate other specialists in violence, reducing competition and leading to higher future payoffs. Hence, producers can offer transfers to specialists in violence that make defense …
Smu Appoints Bryce Hool As Economics Dean, Singapore Management University
Smu Appoints Bryce Hool As Economics Dean, Singapore Management University
SMU Press Releases and News
No abstract provided.
In Search Of A Different Accounting Graduate: Entry-Point Determinants Of Students’ Performance In An Undergraduate Accountancy Degree Programme In Singapore, Poh Sun Seow, Pan, Gary, Siok Wan Joanne Tay
In Search Of A Different Accounting Graduate: Entry-Point Determinants Of Students’ Performance In An Undergraduate Accountancy Degree Programme In Singapore, Poh Sun Seow, Pan, Gary, Siok Wan Joanne Tay
Research Collection School Of Accountancy
This study investigates the association of prior academic achievement, admission interview, critical thinking, mathematical aptitude, gender and age with successful academic performance in an undergraduate accountancy degree programme at a Singapore university. The purpose of revisiting the determinants of academic performance is twofold: firstly, university accounting education in Singapore has changed greatly since Koh and Koh’s earlier study (1999), so this study examines if determinants previously identified as significant continue to be so in the new setting; secondly, the study tests the usefulness of admission interview in identifying applicants who achieve subsequent academic success. All the data on students’ performance …
Beyond Search: Event-Driven Summarization For Web Videos, Richard Hong, Jinhui Tang, Hung-Khoon Tan, Chong-Wah Ngo, Shuicheng Yan, Tat-Seng Chua
Beyond Search: Event-Driven Summarization For Web Videos, Richard Hong, Jinhui Tang, Hung-Khoon Tan, Chong-Wah Ngo, Shuicheng Yan, Tat-Seng Chua
Research Collection School Of Computing and Information Systems
The explosive growth of Web videos brings out the challenge of how to efficiently browse hundreds or even thousands of videos at a glance. Given an event-driven query, social media Web sites usually return a large number of videos that are diverse and noisy in a ranking list. Exploring such results will be time-consuming and thus degrades user experience. This article presents a novel scheme that is able to summarize the content of video search results by mining and threading "key" shots, such that users can get an overview of main content of these videos at a glance. The proposed …
Enabling Gpu Acceleration With Messaging Middleware, Randall E. Duran, Li Zhang, Tom Hayhurst
Enabling Gpu Acceleration With Messaging Middleware, Randall E. Duran, Li Zhang, Tom Hayhurst
Research Collection School Of Computing and Information Systems
Graphics processing units (GPUs) offer great potential for accelerating processing for a wide range of scientific and business applications. However, complexities associated with using GPU technology have limited its use in applications. This paper reviews earlier approaches improving GPU accessibility, and explores how integration with middleware messaging technologies can further improve the accessibility and usability of GPU-enabled platforms. The results of a proof-of-concept integration between an open-source messaging middleware platform and a general-purpose GPU platform using the CUDA framework are presented. Additional applications of this technique are identified and discussed as potential areas for further research.
Exploring Tweets Normalization And Query Time Sensitivity For Twitter Search, Zhongyu Wei, Wei Gao, Lanjun Zhou, Binyang Li, Kam-Fai Wong
Exploring Tweets Normalization And Query Time Sensitivity For Twitter Search, Zhongyu Wei, Wei Gao, Lanjun Zhou, Binyang Li, Kam-Fai Wong
Research Collection School Of Computing and Information Systems
This paper presents our work for the Realtime Adhoc Task of TREC 2011 Microblog Track. Microblog texts like tweets are generally characterized by the inclusion of a large proportion of irregular expressions, such as ill-formed words, which can lead to significant mismatch between query terms and tweets. In addition, Twitter queries are distinguished from Web queries with many unique characteristics, one of which reflects the clearly distinct temporal aspects of Twitter search behavior. In this study, we deal with the first problem by normalizing tweet texts and the second by capturing the temporal characteristics of topic. We divided topics into …
Consistent Community Identification In Complex Networks, Haewoon Kwak, Young-Ho Eom, Yoonchan Choi, Hawoong Jeong
Consistent Community Identification In Complex Networks, Haewoon Kwak, Young-Ho Eom, Yoonchan Choi, Hawoong Jeong
Research Collection School Of Computing and Information Systems
We have found that known community identification algorithms produce inconsistent communities when the node ordering changes at input. We use the pairwise membership probability and consistency to quantify the level of consistency across multiple runs of an algorithm. Based on these two metrics, we address the consistency problem without compromising the modularity. The key insight of the algorithm is to use pairwise membership probabilities as link weights. It offers a new tool in the study of community structures and their evolutions.
Coping With Distance: An Empirical Study Of Communication On The Jazz Platform, Renuka Sindhgatta, Bikram Sengupta, Subhajit Datta
Coping With Distance: An Empirical Study Of Communication On The Jazz Platform, Renuka Sindhgatta, Bikram Sengupta, Subhajit Datta
Research Collection School Of Computing and Information Systems
Global software development - which is characterized by teams separated by physical distance and/or time-zone differences - has traditionally posed significant communication challenges. Often these have caused delays in completing tasks, or created misalignment across sites leading to re-work. In recent years, however, a new breed of development environments with rich collaboration features have emerged to facilitate cross-site work in distributed projects. In this paper we revisit the question "does distance matter?" in the context of IBM Jazz Platform -- a state-of-the-art collaborative development environment. We study the ecosystem of a large distributed team of around 300 members across 35 …
Software Process Evaluation: A Machine Learning Approach, Ning Chen, Steven C. H. Hoi, Xiaokui Xiao
Software Process Evaluation: A Machine Learning Approach, Ning Chen, Steven C. H. Hoi, Xiaokui Xiao
Research Collection School Of Computing and Information Systems
Software process evaluation is essential to improve software development and the quality of software products in an organization. Conventional approaches based on manual qualitative evaluations (e.g., artifacts inspection) are deficient in the sense that (i) they are time-consuming, (ii) they suffer from the authority constraints, and (iii) they are often subjective. To overcome these limitations, this paper presents a novel semi-automated approach to software process evaluation using machine learning techniques. In particular, we formulate the problem as a sequence classification task, which is solved by applying machine learning algorithms. Based on the framework, we define a new quantitative indicator to …
Finding Relevant Answers In Software Forums, Swapna Gottopati, David Lo, Jing Jiang
Finding Relevant Answers In Software Forums, Swapna Gottopati, David Lo, Jing Jiang
Research Collection School Of Computing and Information Systems
Online software forums provide a huge amount of valuable content. Developers and users often ask questions and receive answers from such forums. The availability of a vast amount of thread discussions in forums provides ample opportunities for knowledge acquisition and summarization. For a given search query, current search engines use traditional information retrieval approach to extract webpages containing relevant keywords. However, in software forums, often there are many threads containing similar keywords where each thread could contain a lot of posts as many as 1,000 or more. Manually finding relevant answers from these long threads is a painstaking task to …
Profit-Maximizing Firm Investments In Customer Information Security, Yong Yick Lee, Robert J. Kauffman, Ryan Sougstad
Profit-Maximizing Firm Investments In Customer Information Security, Yong Yick Lee, Robert J. Kauffman, Ryan Sougstad
Research Collection School Of Computing and Information Systems
When a customer interacts with a firm, extensive personal information often is gathered without the individual's knowledge. Significant risks are associated with handling this kind of information. Providing protection may reduce the risk of the loss and misuse of private information, but it imposes some costs on both the firm and its customers. Nevertheless, customer information security breaches still may occur. They have several distinguishing characteristics: (1) typically it is hard to quantify monetary damages related to them; (2) customer information security breaches may be caused by intentional attacks, as well as through unintentional organizational and customer behaviors; and (3) …
Pat 3: An Extensible Architecture For Building Multi-Domain Model Checkers, Yang Liu, Jun Sun, Jin Song Dong
Pat 3: An Extensible Architecture For Building Multi-Domain Model Checkers, Yang Liu, Jun Sun, Jin Song Dong
Research Collection School Of Computing and Information Systems
Model checking is emerging as an effective software verification method. Although it is desirable to have a dedicated model checker for each application domain, implementing one is rather challenging. In this work, we develop an extensible and integrated architecture in PAT3 (PAT version 3.*) to support the development of model checkers for wide range application domains. PAT3 adopts a layered design with an intermediate representation layer (IRL), which separates modeling languages from model checking algorithms so that the algorithms can be shared by different languages. IRL contains several common semantic models to support wide application domains, and builds both explicit …
Towards Trajectory-Based Experience Sharing In A City, Byoungjip Kim, Youngki Lee, Sangjeong Lee, Yunseok Rhee, Junehwa Song
Towards Trajectory-Based Experience Sharing In A City, Byoungjip Kim, Youngki Lee, Sangjeong Lee, Yunseok Rhee, Junehwa Song
Research Collection School Of Computing and Information Systems
As location-aware mobile devices such as smartphones have now become prevalent, people are able to easily record their trajectories in daily lives. Such personal trajectories are a very promising means to share their daily life experiences, since important contextual information such as significant locations and activities can be extracted from the raw trajectories. In this paper, we propose MetroScope, a trajectory-based real-time and on-the-go experience sharing system in a metropolitan city. MetroScope allows people to share their daily life experiences through trajectories, and enables them to refer to other people's diverse and interesting experiences in a city. Eventually, MetroScope aims …
Price Points And Price Rigidity, Daniel Levy, Dongwon Lee, Haipeng (Allen) Lee, Robert J. Kauffman, Mark Bergen
Price Points And Price Rigidity, Daniel Levy, Dongwon Lee, Haipeng (Allen) Lee, Robert J. Kauffman, Mark Bergen
Research Collection School Of Computing and Information Systems
We study the link between price points and price rigidity using two data sets: weekly scanner data and Internet data. We find that ‘‘9’’ is the most frequent ending for the penny, dime, dollar, and ten-dollar digits; the most common price changes are those that keep the price endings at ‘‘9’’; 9-ending prices are less likely to change than non-9-ending prices; and the average size of price change is larger for 9-ending than non-9- ending prices. We conclude that 9-ending contributes to price rigidity from penny to dollar digits and across a wide range of product categories, retail formats, and …
Unsupervised Multiple Kernel Learning, Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi, Xiangyang Lan
Unsupervised Multiple Kernel Learning, Jinfeng Zhuang, Jialei Wang, Steven C. H. Hoi, Xiangyang Lan
Research Collection School Of Computing and Information Systems
Traditional multiple kernel learning (MKL) algorithms are essentially supervised learning in the sense that the kernel learning task requires the class labels of training data. However, class labels may not always be available prior to the kernel learning task in some real world scenarios, e.g., an early preprocessing step of a classification task or an unsupervised learning task such as dimension reduction. In this paper, we investigate a problem of Unsupervised Multiple Kernel Learning (UMKL), which does not require class labels of training data as needed in a conventional multiple kernel learning task. Since a kernel essentially defines pairwise similarity …
Linear Programming-Based Estimators In Simple Linear Regression, Daniel P. A. Preve, Marcelo C. Medeiros
Linear Programming-Based Estimators In Simple Linear Regression, Daniel P. A. Preve, Marcelo C. Medeiros
Research Collection School Of Economics
In this paper we introduce a linear programming estimator (LPE) for the slope parameter in a constrained linear regression model with a single regressor. The LPE is interesting because it can be superconsistent in the presence of an endogenous regressor and, hence, preferable to the ordinary least squares estimator (LSE). Two different cases are considered as we investigate the statistical properties of the LPE. In the first case, the regressor is assumed to be fixed in repeated samples. In the second, the regressor is stochastic and potentially endogenous. For both cases the strong consistency and exact finite-sample distribution of the …
Intertemporal Substitution In The Time Allocation Of Married Women, Ken Yamada
Intertemporal Substitution In The Time Allocation Of Married Women, Ken Yamada
Research Collection School Of Economics
This paper studies a life-cycle model of home production to examine how married women change their allocation of time in response to evolutionary movements along the life-cycle wage profile in Japan. After accounting for the potential bias due to heterogeneity, measurement error, weak instruments, and missing data, the estimates of intertemporal substitution elasticity obtained from the home production model are moderate and similar to those obtained from the standard labor supply model.
Learning Human Emotion Patterns For Modeling Virtual Humans, Shu Feng, Ah-Hwee Tan
Learning Human Emotion Patterns For Modeling Virtual Humans, Shu Feng, Ah-Hwee Tan
Research Collection School Of Computing and Information Systems
Emotion modeling is a crucial part in modeling virtual humans. Although various emotion models have been proposed, most of them focus on designing specific appraisal rules. As there is no unified framework for emotional appraisal, the appraisal variables have to be defined beforehand and evaluated in a subjective way. In this paper, we propose an emotion model based on machine learning methods by taking the following position: an emotion model should mirror actual human emotion in the real world and connect tightly with human inner states, such as drives, motivations and personalities. Specifically, a self-organizing neural model called Emotional Appraisal …