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» Estimating the Accuracy of Learned Concepts
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NIPS
1996
14 years 11 months ago
Improving the Accuracy and Speed of Support Vector Machines
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Christopher J. C. Burges, Bernhard Schölkopf
LREC
2010
186views Education» more  LREC 2010»
14 years 11 months ago
An Associative Concept Dictionary for Verbs and its Application to Elliptical Word Estimation
Natural language processing technology has developed remarkably, but it is still difficult for computers to understand contextual meanings as humans do. The purpose of our work ha...
Takehiro Teraoka, Jun Okamoto, Shun Ishizaki
MCS
2010
Springer
15 years 4 months ago
Estimation of the Number of Clusters Using Multiple Clustering Validity Indices
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
Krzysztof Kryszczuk, Paul Hurley
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 1 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
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FOCS
2008
IEEE
15 years 4 months ago
Learning Geometric Concepts via Gaussian Surface Area
We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio