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ICMCS
2005
IEEE
116views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Speaker Independent Speech Emotion Recognition by Ensemble Classification
Emotion recognition grows to an important factor in future media retrieval and man machine interfaces. However, even human deciders often experience problems realizing one’s emo...
Björn Schuller, Stephan Reiter, Ronald Mü...
GECCO
2010
Springer
189views Optimization» more  GECCO 2010»
14 years 1 months ago
Knowledge mining with genetic programming methods for variable selection in flavor design
This paper presents a novel approach for knowledge mining from a sparse and repeated measures dataset. Genetic programming based symbolic regression is employed to generate multip...
Katya Vladislavleva, Kalyan Veeramachaneni, Matt B...
KDD
2010
ACM
224views Data Mining» more  KDD 2010»
14 years 10 days ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
13 years 9 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
BIOID
2008
103views Biometrics» more  BIOID 2008»
13 years 10 months ago
Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification
Abstract. Classifiers based on Gaussian mixture models are good performers in many pattern recognition tasks. Unlike decision trees, they can be described as stable classifier: a s...
Jonas Richiardi, Andrzej Drygajlo, Laetitia Todesc...