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COOPIS
2004
IEEE
15 years 9 months ago
Learning Classifiers from Semantically Heterogeneous Data
Semantically heterogeneous and distributed data sources are quite common in several application domains such as bioinformatics and security informatics. In such a setting, each dat...
Doina Caragea, Jyotishman Pathak, Vasant Honavar
CIT
2006
Springer
15 years 9 months ago
Voice Conversion by Prosody and Vocal Tract Modification
In this paper we proposed some flexible methods, which are useful in the process of voice conversion. The proposed methods modify the shape of the vocal tract system and the chara...
K. Sreenivasa Rao, B. Yegnanarayana
COLT
2006
Springer
15 years 9 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
15 years 9 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
KDD
2000
ACM
142views Data Mining» more  KDD 2000»
15 years 9 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman