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IJON
2007
134views more  IJON 2007»
15 years 6 months ago
Analysis of SVM regression bounds for variable ranking
This paper addresses the problem of variable ranking for Support Vector Regression. The relevance criteria that we proposed are based on leave-one-out bounds and some variants and...
Alain Rakotomamonjy
JIRS
2007
108views more  JIRS 2007»
15 years 6 months ago
GODZILA: A Low-resource Algorithm for Path Planning in Unknown Environments
— In this paper, we propose a novel path-planning and obstacle avoidance algorithm GODZILA for navigation in unknown environments. No prior knowledge of the environment is requir...
Prashanth Krishnamurthy, Farshad Khorrami
COLING
2000
15 years 6 months ago
Processing Self Corrections in a speech to speech system
Speech repairs occur often in spontaneous spoken dialogues. The ability to detect and correct those repairs is necessary for any spoken language system. We present a framework to ...
Jörg Spilker, Martin Klarner, Günther G&...
CORR
2000
Springer
100views Education» more  CORR 2000»
15 years 6 months ago
Boosting Applied to Word Sense Disambiguation
In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...
Gerard Escudero, Lluís Màrquez, Germ...
NN
2000
Springer
161views Neural Networks» more  NN 2000»
15 years 6 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys