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ICML
2010
IEEE
15 years 4 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
ISBRA
2011
Springer
14 years 10 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao
ITS
2004
Springer
129views Multimedia» more  ITS 2004»
15 years 12 months ago
Developing Learning by Teaching Environments That Support Self-Regulated Learning
Abstract. Betty’s Brain is a teachable agent system in the domain of river ecosystems that combines learning by teaching and self-regulation strategies to promote deep learning a...
Gautam Biswas, Krittaya Leelawong, Kadira Belynne,...
ICPR
2008
IEEE
16 years 7 months ago
An adaptive scene description for activity analysis in surveillance video
This paper presents an adaptive framework for live video analysis. The activities of surveillance subjects are described using a spatio-temporal vocabulary learned from recurrent ...
Brendan Morris, Mohan M. Trivedi
ML
2000
ACM
103views Machine Learning» more  ML 2000»
15 years 6 months ago
Nonparametric Time Series Prediction Through Adaptive Model Selection
We consider the problem of one-step ahead prediction for time series generated by an underlying stationary stochastic process obeying the condition of absolute regularity, describi...
Ron Meir