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ICPR
2002
IEEE
14 years 2 months ago
Motion Prediction Using VC-Generalization Bounds
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
SIGIR
2008
ACM
13 years 9 months ago
Posterior probabilistic clustering using NMF
We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes th...
Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng
ALT
2011
Springer
12 years 10 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala
AAMAS
2007
Springer
14 years 4 months ago
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
CORR
2007
Springer
88views Education» more  CORR 2007»
13 years 9 months ago
A software for learning Information Theory basics with emphasis on Entropy of Spanish
In this paper, an educational software aimed to help learning Information Theory basics in a practical way is reported. The software, called IT-tutor-UV, can produce entropy analy...
Fabio G. Guerrero, Lucio A. Perez