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» Modeling Learners as Individuals and as Groups
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PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
14 years 10 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
TMM
2010
181views Management» more  TMM 2010»
14 years 6 months ago
Mining Group Nonverbal Conversational Patterns Using Probabilistic Topic Models
Abstract--The automatic discovery of group conversational behavior is a relevant problem in social computing. In this paper, we present an approach to address this problem by defin...
Dinesh Babu Jayagopi, Daniel Gatica-Perez
ICIP
2010
IEEE
14 years 9 months ago
Collaborative particle filters for group tracking
Tracking groups of people is a highly informative task in surveillance, and it represents a still open and little explored issue. In this paper, we propose a brand new framework f...
Loris Bazzani, Marco Cristani, Vittorio Murino
CHI
2009
ACM
16 years 10 days ago
An intuitive model of perceptual grouping for HCI design
Understanding and exploiting the abilities of the human visual system is an important part of the design of usable user interfaces and information visualizations. Good design enab...
Ruth Rosenholtz, Nathaniel R. Twarog, Nadja Schink...
GROUP
1991
ACM
15 years 3 months ago
Extending electronic mail with conceptual modeling to provide group decision support
: This paper reports an attempt to move computer-based techniques for supporting the analysis of group cognitive processes and decision-making from being specialist applications to...
Mildred L. G. Shaw, Brian R. Gaines