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IBPRIA
2007
Springer
15 years 9 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
15 years 9 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
138
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AIRS
2004
Springer
15 years 9 months ago
Effective Topic Distillation with Key Resource Pre-selection
Topic distillation aims at finding key resources which are high-quality pages for certain topics. With analysis in non-content features of key resources, a pre-selection method is ...
Yiqun Liu, Min Zhang, Shaoping Ma
AIRS
2006
Springer
15 years 9 months ago
Automatic Query Type Identification Based on Click Through Information
We report on a study that was undertaken to better identify users' goals behind web search queries by using click through data. Based on user logs which contain over 80 millio...
Yiqun Liu, Min Zhang, Liyun Ru, Shaoping Ma
ANNPR
2006
Springer
15 years 9 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...