390 search results - page 21 / 78 » A Model of Inductive Bias Learning |
CLA
2007
13 years 10 months ago
2007
The generalization of policies in reinforcement learning is a main issue, both from the theoretical model point of view and for their applicability. However, generalizing from a se...
BMCBI
2006
13 years 8 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
NAACL
2010
13 years 6 months ago
2010
We show how features can easily be added to standard generative models for unsupervised learning, without requiring complex new training methods. In particular, each component mul...
ACL
2007
13 years 10 months ago
2007
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
DIS
2001
Springer
14 years 1 months ago
2001
Springer
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...