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SSPR
2004
Springer
15 years 11 months ago
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
Despina Kontos, Vasileios Megalooikonomou, Marc J....
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 11 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
IDEAL
2000
Springer
15 years 10 months ago
Quantization of Continuous Input Variables for Binary Classification
Quantization of continuous variables is important in data analysis, especially for some model classes such as Bayesian networks and decision trees, which use discrete variables. Of...
Michal Skubacz, Jaakko Hollmén
CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
15 years 9 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
TREC
2007
15 years 7 months ago
Passage Relevancy Through Semantic Relatedness
Questions that require answers in the form of a list of entities and the identification of diverse biological entity classes present an interesting challenge that required new app...
Luis Tari, Phan Huy Tu, Barry Lumpkin, Robert Leam...