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» Learning a Classification Model for Segmentation
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CHI
2011
ACM
14 years 8 months ago
Competing online viewpoints and models of chronic illness
People with chronic health problems use online resources to understand and manage their condition, but many such resources can present competing and confusing viewpoints. We surve...
Jennifer Mankoff, Kateryna Kuksenok, Sara B. Kiesl...
141
Voted
GECCO
2006
Springer
214views Optimization» more  GECCO 2006»
15 years 8 months ago
A new discrete particle swarm algorithm applied to attribute selection in a bioinformatics data set
Many data mining applications involve the task of building a model for predictive classification. The goal of such a model is to classify examples (records or data instances) into...
Elon S. Correa, Alex Alves Freitas, Colin G. Johns...
SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
15 years 6 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
107
Voted
CORR
2006
Springer
101views Education» more  CORR 2006»
15 years 4 months ago
MDL Convergence Speed for Bernoulli Sequences
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Jan Poland, Marcus Hutter
SDM
2010
SIAM
158views Data Mining» more  SDM 2010»
15 years 6 months ago
On the Use of Combining Rules in Relational Probability Trees
A relational probability tree (RPT) is a type of decision tree that can be used for probabilistic classification of instances with a relational structure. Each leaf of an RPT cont...
Daan Fierens