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KDD
2012
ACM
166views Data Mining» more  KDD 2012»
11 years 10 months ago
Selecting a characteristic set of reviews
Online reviews provide consumers with valuable information that guides their decisions on a variety of fronts: from entertainment and shopping to medical services. Although the pr...
Theodoros Lappas, Mark Crovella, Evimaria Terzi
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
14 years 8 months ago
Extracting key-substring-group features for text classification
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...
Dell Zhang, Wee Sun Lee
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
14 years 2 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 1 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
CLEF
2006
Springer
13 years 11 months ago
TALP at GeoCLEF 2006: Experiments Using JIRS and Lucene with the ADL Feature Type Thesaurus
This paper describes our experiments in Geographical Information Retrieval (GIR) in the context of our participation in the GeoCLEF 2006 Monolingual English task. The TALPGeoIR sy...
Daniel Ferrés, Horacio Rodríguez