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» Learning Partially Observable Deterministic Action Models
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HICSS
2005
IEEE
162views Biometrics» more  HICSS 2005»
14 years 1 months ago
An Agent-Based Approach to Study Virtual Learning Communities
This paper focuses on agent-based approach to study the relationship between the individual behavior of participants and the overall development of a virtual community, to help pe...
Yiwen Zhang, Mohan Tanniru
ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
12 years 7 months ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
IADIS
2004
13 years 9 months ago
Modelling Inductive Reasoning Ability for Adaptive Virtual Learning Environment
Inductive reasoning is one of the important characteristics of human intelligence. Researchers have regarded inductive reasoning as one of the seven primary mental abilities that ...
Taiyu Lin, Kinshuk, Paul McNab
CVPR
2012
IEEE
11 years 10 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
13 years 6 months ago
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
Salvatore Candido, James C. Davidson, Seth Hutchin...