3378 search results - page 314 / 676 » Learning in Friedberg Numberings |
140
click to vote
ANLP
2000
15 years 8 months ago
2000
The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a...
179
click to vote
ICML
2010
IEEE
15 years 7 months ago
2010
IEEE
The importance of bringing causality into play when designing feature selection methods is more and more acknowledged in the machine learning community. This paper proposes a filt...
167
click to vote
AAAI
2010
15 years 7 months ago
2010
Multi-task learning aims at combining information across tasks to boost prediction performance, especially when the number of training samples is small and the number of predictor...
172
click to vote
JMLR
2008
15 years 6 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
176
click to vote
AI
2004
Springer
15 years 6 months ago
2004
Springer
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...