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» Optimal Sequential Exploration: A Binary Learning Model
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CVPR
2004
IEEE
14 years 9 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
AMR
2007
Springer
143views Multimedia» more  AMR 2007»
14 years 1 months ago
User Modelling for Interactive User-Adaptive Collection Structuring
Abstract. Automatic structuring is one means to ease access to document collections, be it for organization or for exploration. Of even greater help would be a presentation that ad...
Andreas Nürnberger, Sebastian Stober
ICML
1998
IEEE
14 years 8 months ago
Value Function Based Production Scheduling
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
TIT
2011
119views more  TIT 2011»
13 years 2 months ago
Redundancy-Related Bounds for Generalized Huffman Codes
— This paper presents new lower and upper bounds for the compression rate of binary prefix codes optimized over memoryless sources according to various nonlinear codeword length...
Michael B. Baer
ICML
1999
IEEE
14 years 8 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan