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» Ensembles of Multi-Instance Neural Networks
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IJCNN
2007
IEEE
14 years 2 days ago
Random Feature Subset Selection for Analysis of Data with Missing Features
Abstract - We discuss an ensemble-of-classifiers based algorithm for the missing feature problem. The proposed approach is inspired in part by the random subspace method, and in pa...
Joseph DePasquale, Robi Polikar
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
13 years 11 months ago
Hand Force Estimation using Electromyography Signals
— In many studies and applications that include direct human involvement such as human-robot interaction, control of prosthetic arms, and human factor studies, hand force is need...
Farid Mobasser, Keyvan Hashtrudi-Zaad
ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
13 years 11 months ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga
HAIS
2009
Springer
13 years 10 months ago
Pareto-Based Multi-output Model Type Selection
In engineering design the use of approximation models (= surrogate models) has become standard practice for design space exploration, sensitivity analysis, visualization and optimi...
Dirk Gorissen, Ivo Couckuyt, Karel Crombecq, Tom D...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 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