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ACL
2004
13 years 11 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda
CORR
2002
Springer
132views Education» more  CORR 2002»
13 years 10 months ago
Robust Feature Selection by Mutual Information Distributions
Mutual information is widely used in artificial intelligence, in a descriptive way, to measure the stochastic dependence of discrete random variables. In order to address question...
Marco Zaffalon, Marcus Hutter
INLG
2010
Springer
13 years 8 months ago
Feature Selection for Fluency Ranking
16:30 Generating and Validating Abstracts of Meeting Conversations: a User Study. Gabriel Murray, Giuseppe Carenini and Raymond Ng 16:30 - 16:45 Break Session 3: Sentence Level Gen...
Daniël de Kok
CSIE
2009
IEEE
14 years 5 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
14 years 4 months ago
Feature Selection and Stacking for Robust Discrimination of Speech, Monophonic Singing, and Polyphonic Music
In this work we strive to find an optimal set of acoustic features for the discrimination of speech, monophonic singing, and polyphonic music to robustly segment acoustic media st...
Björn Schuller, Brüning J. B. Schmitt, D...