3276 search results - page 574 / 656 » Data learning based diagnosis |
104
Voted
IJCAI
2007
15 years 2 months ago
2007
We present a fully connectionist system for the learning of first-order logic programs and the generation of corresponding models: Given a program and a set of training examples,...
121
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KES
2008
Springer
15 years 17 days ago
2008
Springer
Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
143
Voted
ML
2008
ACM
15 years 17 days ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
120
Voted
ML
2010
ACM
14 years 11 months ago
2010
ACM
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
170
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FOCS
2010
IEEE
14 years 10 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...