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Articles 1 - 8 of 8
Full-Text Articles in Computer Sciences
Patient-Centered Appointment Scheduling Using Agent-Based Simulation, Tammy Toscos, Ayten Turkcan, Brad Doebbeling
Patient-Centered Appointment Scheduling Using Agent-Based Simulation, Tammy Toscos, Ayten Turkcan, Brad Doebbeling
Tammy R Toscos
Enhanced access and continuity are key components of patient-centered care. Existing studies show that several interventions such as providing same day appointments, walk-in services, after-hours care, and group appointments, have been used to redesign the healthcare systems for improved access to primary care. However, an intervention focusing on a single component of care delivery (i.e. improving access to acute care) might have a negative impact other components of the system (i.e. reduced continuity of care for chronic patients). Therefore, primary care clinics should consider implementing multiple interventions tailored for their patient population needs. We collected rapid ethnography and observations to …
Teaching An Undergraduate Ai Course With Games And Simulation, Philip Hingston, Barbara Combes, Martin Masek
Teaching An Undergraduate Ai Course With Games And Simulation, Philip Hingston, Barbara Combes, Martin Masek
Martin Masek
In this paper, we report on our experiences in using an animated competitive game with simulated physics to teach Artificial Intelligence techniques in an undergraduate computer science course. Students develop intelligent controllers for simulated vehicles, which compete with each other in a tournament. The simulation includes a real-time visualization of the contests, and the students' solutions utilise an AI toolkit that provides animated displays showing the internal workings of their controllers in parallel with the simulation. The result is a learning experience that engages students' enthusiasm, and 'helps them to development mental models of the AI algorithms.
Exergame Development Using The Dual Flow Model, Jeffrey Sinclair, Philip Hingston, Martin Masek
Exergame Development Using The Dual Flow Model, Jeffrey Sinclair, Philip Hingston, Martin Masek
Martin Masek
No abstract provided.
Considerations For The Design Of Exergames, Jeffrey Ronald Sinclair, Philip Hingston, Martin Masek
Considerations For The Design Of Exergames, Jeffrey Ronald Sinclair, Philip Hingston, Martin Masek
Martin Masek
No abstract provided.
Use Of Online Tools To Aid Group Work, Martin Masek
Use Of Online Tools To Aid Group Work, Martin Masek
Martin Masek
No abstract provided.
Modeling Multiple-Mode Systems With Predictive State Representations, Britton Wolfe, Michael James, Satinder Singh
Modeling Multiple-Mode Systems With Predictive State Representations, Britton Wolfe, Michael James, Satinder Singh
Michael C James
Predictive state representations (PSRs) are a class of models that represent the state of a dynamical system as a set of predictions about future events. This work introduces a class of structured PSR models called multi-mode PSRs (MMPSRs), which were inspired by the problem of modeling traffic. In general, MMPSRs can model uncontrolled dynamical systems that switch between several modes of operation. An important aspect of the model is that the modes must be recognizable from a window of past and future observations. Allowing modes to depend upon future observations means the MMPSR can model systems where the mode cannot …
Microblogging For Engaged Teaching And Learning, Thomas Menkhoff, Kok Siew Benjamin Gan, Charles Jason Woodard, Yue Wah Chay
Microblogging For Engaged Teaching And Learning, Thomas Menkhoff, Kok Siew Benjamin Gan, Charles Jason Woodard, Yue Wah Chay
C. Jason Woodard
In this paper, we report how we put a newly developed Twitter application to work in the context of a Knowledge Management course taught at the Singapore Management University (SMU) allowing students to post and view relevant tweets in an organized manner for the benefit of collaborative class discussions and learning. Innovative elements of the ongoing project include the explorative usage of social media such as Twitter in the higher education context, student participation in providing initial evidence and qualitative feedback that tweeting is pedagogically meaningful and a newly built-in feature which can resolve tweeting challenges which occurred in class …
Dependency-Topic-Affects-Sentiment-Lda Model For Sentiment Analysis, Shunshun Yin, Jun Han, Yu Huang, Kuldeep Kumar
Dependency-Topic-Affects-Sentiment-Lda Model For Sentiment Analysis, Shunshun Yin, Jun Han, Yu Huang, Kuldeep Kumar
Kuldeep Kumar
Sentiment analysis tends to use automated approaches to mine the sentiment information expressed in text, such as reviews, blogs and forum discussions. As most traditional approaches for sentiment analysis are based on supervised learning models and need many labeled corpora as their training data which are not always easily obtained, various unsupervised models based on Latent Dirichlet Allocation (LDA) have been proposed for sentiment classification. In this paper, we propose a novel probabilistic modeling framework based on LDA, called Dependency-Topic-Affects-Sentiment-LDA (DTAS) model, which drops the ”bag of words” assumption and assumes that the topics of sentences in a document form …