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» Learning Hierarchical Performance Knowledge by Observation
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TNN
2010
205views Management» more  TNN 2010»
13 years 2 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu
JUCS
2008
180views more  JUCS 2008»
13 years 7 months ago
The APS Framework For Incremental Learning of Software Agents
Abstract: Adaptive behavior and learning are required of software agents in many application domains. At the same time agents are often supposed to be resource-bounded systems, whi...
Damian Dudek
CHI
2009
ACM
14 years 8 months ago
Questions in, knowledge in?: a study of naver's question answering community
Large general-purposed community question-answering sites are becoming popular as a new venue for generating knowledge and helping users in their information needs. In this paper ...
Kevin Kyung Nam, Mark S. Ackerman, Lada A. Adamic
IJVR
2008
127views more  IJVR 2008»
13 years 7 months ago
Embodied Tutors for Interaction Skills Simulation Training
This paper describes intelligent virtual tutors for interaction skills training who can serve the roles of demonstrator, coach, trainer, mentor, and observer. These roles meet the ...
Robert Hubal
ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
14 years 1 months ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...