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135
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ICPR
2002
IEEE
15 years 8 months ago
Hierarchical Interpretation of Human Activities Using Competitive Learning
In this paper we describe a method of learning hierarchical representations for describing and recognizing gestures expressed as one and two arm movements using competitive learni...
Harry Wechsler, Zoran Duric, Fayin Li
136
Voted
AAAI
1998
15 years 5 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
98
Voted
EDM
2009
106views Data Mining» more  EDM 2009»
15 years 1 months ago
Consistency of Students' Pace in Online Learning
The purpose of this study is to investigate the consistency of students' behavior regarding their pace of actions over sessions within an online course. Pace in a session is d...
Arnon Hershkovitz, Rafi Nachmias
127
Voted
ITS
2004
Springer
138views Multimedia» more  ITS 2004»
15 years 9 months ago
A Metacognitive ACT-R Model of Students' Learning Strategies in Intelligent Tutoring Systems
Research has shown that students’ problem-solving actions vary in type and duration. Among other causes, this behavior is a result of strategies that are driven by different goal...
Ido Roll, Ryan Shaun Baker, Vincent Aleven, Kennet...
129
Voted
AI
1998
Springer
15 years 8 months ago
Sequential Instance-Based Learning
This paper presents and evaluates sequential instance-based learning (SIBL), an approach to action selection based upon data gleaned from prior problem solving experiences. SIBL le...
Susan L. Epstein, Jenngang Shih