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» Machine Learning Techniques to Make Computers Easier to Use
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ICPR
2000
IEEE
14 years 10 months ago
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
Pabitra Mitra, C. A. Murthy, Sankar K. Pal
PERCOM
2007
ACM
14 years 8 months ago
MaLM: Machine Learning Middleware to Tackle Ontology Heterogeneity
We envisage pervasive computing applications to be predominantly engaged in knowledge-based interactions, where services and information will be found and exchanged based on some ...
Licia Capra
BMCBI
2007
153views more  BMCBI 2007»
13 years 9 months ago
Analysis of nanopore detector measurements using Machine-Learning methods, with application to single-molecule kinetic analysis
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
Matthew Landry, Stephen Winters-Hilt
ICML
2003
IEEE
14 years 10 months ago
The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
Gavin Brown, Jeremy L. Wyatt
ESA
2004
Springer
124views Algorithms» more  ESA 2004»
14 years 26 days ago
Code Flexibility and Program Efficiency by Genericity: Improving Cgal's Arrangements
Arrangements of planar curves are fundamental structures in computational geometry. We describe the recent developments in the arrangement package of Cgal, the Computational Geomet...
Efi Fogel, Ron Wein, Dan Halperin