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» Temporal difference learning to detect unsafe system states
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ATAL
2005
Springer
14 years 28 days ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
CORR
2004
Springer
195views Education» more  CORR 2004»
13 years 7 months ago
Detecting User Engagement in Everyday Conversations
This paper presents a novel application of speech emotion recognition: estimation of the level of conversational engagement between users of a voice communication system. We begin...
Chen Yu, Paul M. Aoki, Allison Woodruff
MVA
2006
205views Computer Vision» more  MVA 2006»
13 years 7 months ago
Ontological inference for image and video analysis
Abstract This paper presents an approach to designing and implementing extensible computational models for perceiving systems based on a knowledge-driven joint inference approach. ...
Christopher Town
UMUAI
2008
192views more  UMUAI 2008»
13 years 7 months ago
Automatic detection of learner's affect from conversational cues
We explored the reliability of detecting a learner's affect from conversational features extracted from interactions with AutoTutor, an intelligent tutoring system that helps...
Sidney K. D'Mello, Scotty D. Craig, Amy M. Withers...
BMCBI
2008
118views more  BMCBI 2008»
13 years 7 months ago
Kismeth: Analyzer of plant methylation states through bisulfite sequencing
Background: There is great interest in probing the temporal and spatial patterns of cytosine methylation states in genomes of a variety of organisms. It is hoped that this will sh...
Eyal Gruntman, Yijun Qi, R. Keith Slotkin, Ted Roe...