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» Approximate algorithms for neural-Bayesian approaches
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152
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IJCAI
2003
15 years 7 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
MVA
2000
158views Computer Vision» more  MVA 2000»
15 years 7 months ago
Automated TV-set Raster Tuning System
System for automated control and tuning of TVset raster has been developed. The artificial intelligence elements such as multilayer perceptron, RBF and Cohonen networks effectivel...
Rauf Kh. Sadykhov, Alexey N. Klimovich, Oleg G. Ma...
135
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CSDA
2006
116views more  CSDA 2006»
15 years 6 months ago
Bayesian multiscale analysis for time series data
A recently proposed Bayesian multiscale tool for exploratory analysis of time series data is reconsidered and umerous important improvements are suggested. The improvements are in...
Tor Arne Øigård, Håvard Rue, Fr...
IJCV
2006
116views more  IJCV 2006»
15 years 6 months ago
Contextual Inference in Contour-Based Stereo Correspondence
Standard approaches to stereo correspondence have difficulty when scene structure does not lie in or near the frontal parallel plane, in part because an orientation disparity as we...
Gang Li, Steven W. Zucker
INTERNET
2006
157views more  INTERNET 2006»
15 years 6 months ago
Distributed Data Mining in Peer-to-Peer Networks
Distributed data mining deals with the problem of data analysis in environments with distributed data, computing nodes, and users. Peer-to-peer computing is emerging as a new dist...
Souptik Datta, Kanishka Bhaduri, Chris Giannella, ...