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» Solving multiclass support vector machines with LaRank
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IGARSS
2010
14 years 5 months ago
Calibrating probabilities for hyperspectral classification of rock types
This paper investigates the performance of machine learning methods for classifying rock types from hyperspectral data. The main objective is to test the impact on classification ...
Sildomar T. Monteiro, Richard J. Murphy
KDD
1995
ACM
139views Data Mining» more  KDD 1995»
15 years 1 months ago
Extracting Support Data for a Given Task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
Bernhard Schölkopf, Chris Burges, Vladimir Va...
ICANN
2007
Springer
15 years 2 months ago
Resilient Approximation of Kernel Classifiers
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Thorsten Suttorp, Christian Igel
ICPR
2006
IEEE
15 years 11 months ago
A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification
Real-word applications often involve a binary hypothesis testing problem with one of the two hypotheses ill-defined and hard to be characterized precisely by a single measure. In ...
Yi-Hsiang Chao, Wei-Ho Tsai, Hsin-Min Wang, Ruei-C...
NLDB
2007
Springer
15 years 4 months ago
DLSITE-1: Lexical Analysis for Solving Textual Entailment Recognition
This paper discusses the recognition of textual entailment in a text-hypothesis pair by applying a wide variety of lexical measures. We consider that the entailment phenomenon can ...
Óscar Ferrández, Daniel Micol, Rafae...