29 search results - page 3 / 6 » A Minimum Relative Entropy Principle for Learning and Acting |
PAMI
2006
13 years 7 months ago
2006
Nonparametric neighborhood methods for learning entail estimation of class conditional probabilities based on relative frequencies of samples that are "near-neighbors" of...
HICSS
2010
IEEE
14 years 2 months ago
2010
IEEE
As agile software development principles and methods are being adopted by large software product organizations it is important to understand the role of software entropy. That is,...
COLT
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
NIPS
2000
13 years 9 months ago
2000
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
IJCAI
1993
13 years 9 months ago
1993
Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...