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» Decision Tree Extraction from Trained Neural Networks
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SBIA
2004
Springer
15 years 2 months ago
Learning with Drift Detection
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Pedro Medas, Gladys Castillo, Pe...
BMCBI
2010
227views more  BMCBI 2010»
14 years 9 months ago
Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage
Background: HIV-1 targets human cells expressing both the CD4 receptor, which binds the viral envelope glycoprotein gp120, as well as either the CCR5 (R5) or CXCR4 (X4) co-recepto...
Majid Masso, Iosif I. Vaisman
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
15 years 4 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
77
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ML
2006
ACM
110views Machine Learning» more  ML 2006»
14 years 9 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
BIBM
2009
IEEE
151views Bioinformatics» more  BIBM 2009»
15 years 4 months ago
Detection of Gene Orthology Based on Protein-Protein Interaction Networks
Abstract—Ortholog detection methods present a powerful approach for finding genes that participate in similar biological processes across different organisms, extending our unde...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...