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COGSCI
2010
114views more  COGSCI 2010»
15 years 6 months ago
Strudel: A Corpus-Based Semantic Model Based on Properties and Types
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...
CORR
2010
Springer
88views Education» more  CORR 2010»
15 years 6 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo
ENGL
2008
101views more  ENGL 2008»
15 years 6 months ago
Identifying Perceptually Similar Languages Using Teager Energy Based Cepstrum
Language Identification (LID) refers to the task of identifying an unknown language from the test utterances. In this paper, a new method of feature extraction, viz., Teager Energy...
Hemant A. Patil, T. K. Basu
PR
2006
122views more  PR 2006»
15 years 6 months ago
Integration of fuzzy spatial relations in deformable models - Application to brain MRI segmentation
This paper presents a general framework to integrate a new type of constraints, based on spatial relations, in deformable models. In the proposed approach, spatial relations are r...
Olivier Colliot, Oscar Camara, Isabelle Bloch
PRL
2006
146views more  PRL 2006»
15 years 6 months ago
Boosting the distance estimation: Application to the K-Nearest Neighbor Classifier
In this work we introduce a new distance estimation technique by boosting and we apply it to the K-Nearest Neighbor Classifier (KNN). Instead of applying AdaBoost to a typical cla...
Jaume Amores, Nicu Sebe, Petia Radeva