390 search results - page 32 / 78 » A Model of Inductive Bias Learning |
ICASSP
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper addresses the problem of discriminative training of language models that does not require any transcribed acoustic data. We propose to minimize the conditional entropy ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
We develop an abstract model of information acquisition from redundant data. We assume a random sampling process from data which contain information with bias and are interested in...
KDD
2009
ACM
14 years 3 months ago
2009
ACM
Data mining techniques have become central to many applications. Most of those applications rely on so called supervised learning algorithms, which learn from given examples in th...
IFIP12
2008
13 years 10 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
ICEC
1996
13 years 10 months ago
1996
Abstract - The paper describes how a formal model of selfadaptation [Angeline, 1995] can be expressed in terms of Cultural Algorithms. A particular form of self-adaptation concerns...