390 search results - page 19 / 78 » A Model of Inductive Bias Learning |
123
Voted
ICMLA
2010
14 years 11 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...
133
Voted
IDA
2006
Springer
15 years 1 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...
130
Voted
IEEEICCI
2002
IEEE
15 years 6 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...
109
Voted
NIPS
2004
15 years 3 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...
116
Voted
ICML
2005
IEEE
16 years 2 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...