390 search results - page 19 / 78 » A Model of Inductive Bias Learning |
ICMLA
2010
13 years 6 months ago
2010
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
IDA
2006
Springer
13 years 8 months ago
2006
Springer
Exploring the vast number of possible feature interactions in domains such as gene expression microarray data is an onerous task. We describe Backward-Chaining Rule Induction (BCR...
IEEEICCI
2002
IEEE
14 years 1 months ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
NIPS
2004
13 years 10 months ago
2004
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper describes the use of machine learning to improve the performance of natural language question answering systems. We present a model for improving story comprehension th...