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» On Combining Classifiers
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GECCO
2004
Springer
107views Optimization» more  GECCO 2004»
14 years 3 months ago
Multiple Species Weighted Voting - A Genetics-Based Machine Learning System
Multiple Species Weighted Voting (MSWV) is a genetics-based machine learning (GBML) system with relatively few parameters that combines N two-class classifiers into an N -class cla...
Alexander F. Tulai, Franz Oppacher
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 11 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
ARTMED
2004
133views more  ARTMED 2004»
13 years 10 months ago
Bayesian network multi-classifiers for protein secondary structure prediction
Successful secondary structure predictions provide a starting point for direct tertiary structure modelling, and also can significantly improve sequence analysis and sequence-stru...
Víctor Robles, Pedro Larrañaga, Jos&...
ESWA
2008
131views more  ESWA 2008»
13 years 10 months ago
Classification of weld flaws with imbalanced class data
This paper presents research results of our investigation of the imbalanced data problem in the classification of different types of weld flaws, a multi-class classification probl...
T. Warren Liao
PCM
2009
Springer
200views Multimedia» more  PCM 2009»
14 years 2 months ago
Weakly-Supervised Violence Detection in Movies with Audio and Video Based Co-training
In this work, we present a novel method to detect violent shots in movies. The detection process is split into two views–––the audio and video views. From the audio-view, a w...
Jian Lin, Weiqiang Wang