997 search results - page 118 / 200 » Learning Rule Representations from Boolean Data |
102
Voted
NIPS
1994
15 years 2 months ago
1994
This paper discusses the linearly weighted combination of estimators in which the weighting functions are dependent on the input. We show that the weighting functions can be deriv...
121
Voted
CORR
2010
Springer
15 years 25 days ago
2010
Springer
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
98
Voted
IJCNN
2008
IEEE
15 years 7 months ago
2008
IEEE
Abstract— Automatic pattern classifiers that allow for incremental learning can adapt internal class models efficiently in response to new information, without having to retrai...
KDD
2000
ACM
15 years 4 months ago
2000
ACM
Higher quality synthesized speech is required for widespread use of text-to-speech (TTS) technology, and prosodic pattern is the key feature that makes synthetic speech sound unna...
153
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JMLR
2012
13 years 3 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...