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ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 4 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
CORR
2008
Springer
137views Education» more  CORR 2008»
15 years 5 months ago
Communications in cellular automata
The goal of this paper is to show why the framework of communication complexity seems suitable for the study of cellular automata. Researchers have tackled different algorithmic p...
Eric Goles Ch., Pierre-Etienne Meunier, Ivan Rapap...
TREC
2003
15 years 5 months ago
Report on the TREC 2003 Experiment: Genomic Track
After retrieval, this simple strategy yield to an important improvement of the average precision: from 17.02 up to 35.80. Task II. Our approach is based on argumentative structurin...
Patrick Ruch, Gilles Cohen, Frédéric...
COLING
2008
15 years 5 months ago
Applying Discourse Analysis and Data Mining Methods to Spoken OSCE Assessments
This paper looks at the transcribed data of patient-doctor consultations in an examination setting. The doctors are internationally qualified and enrolled in a bridging course as ...
Meladel Mistica, Timothy Baldwin, Marisa Cordella,...
ML
2006
ACM
105views Machine Learning» more  ML 2006»
15 years 4 months ago
Propositionalization-based relational subgroup discovery with RSD
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
Filip Zelezný, Nada Lavrac