1034 search results - page 73 / 207 » A Bayesian Metric for Evaluating Machine Learning Algorithms |
MICCAI
2010
Springer
14 years 8 months ago
2010
Springer
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
106
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CIKM
2008
Springer
14 years 11 months ago
2008
Springer
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
105
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IJCAI
2007
14 years 11 months ago
2007
We propose a novel variant of the conjugate gradient algorithm, Kernel Conjugate Gradient (KCG), designed to speed up learning for kernel machines with differentiable loss functio...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
This paper extends previous work on the Skewing algorithm, a promising approach that allows greedy decision tree induction algorithms to handle problematic functions such as parit...