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» On the Complexity of Function Learning
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BMCBI
2005
161views more  BMCBI 2005»
15 years 4 months ago
Non-linear mapping for exploratory data analysis in functional genomics
Background: Several supervised and unsupervised learning tools are available to classify functional genomics data. However, relatively less attention has been given to exploratory...
Francisco Azuaje, Haiying Wang, Alban Chesneau
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BMCBI
2005
155views more  BMCBI 2005»
15 years 4 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
AAAI
2011
14 years 4 months ago
Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
Steven Phillips, Jane Elith
AGI
2008
15 years 6 months ago
Learning from Inconsistencies in an Integrated Cognitive Architecture
Whereas symbol
Kai-Uwe Kühnberger, Peter Geibel, Helmar Gust...
IJCSS
2000
79views more  IJCSS 2000»
15 years 4 months ago
Impact of learning set quality and size on decision tree performances
Abstract. The quality of a decision tree is usually evaluated through its complexity and its generalization accuracy. Tree-simpli
Marc Sebban, Richard Nock, Jean-Hugues Chauchat, R...