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SGAI
2007
Springer
14 years 4 months ago
Towards a Computationally Efficient Approach to Modular Classification Rule Induction
Induction of classification rules is one of the most important technologies in data mining. Most of the work in this field has concentrated on the Top Down Induction of Decision T...
Frederic T. Stahl, Max Bramer
INTERSPEECH
2010
13 years 4 months ago
Speaker and language adaptive training for HMM-based polyglot speech synthesis
This paper proposes a technique for speaker and language adaptive training for HMM-based polyglot speech synthesis. Language-specific context-dependencies in the system are captur...
Heiga Zen
IBPRIA
2007
Springer
14 years 1 months ago
Random Forest for Gene Expression Based Cancer Classification: Overlooked Issues
Random forest is a collection (ensemble) of decision trees. It is a popular ensemble technique in pattern recognition. In this article, we apply random forest for cancer classifica...
Oleg Okun, Helen Priisalu
IEAAIE
2004
Springer
14 years 3 months ago
Data Mining Approach for Analyzing Call Center Performance
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
Marcin Paprzycki, Ajith Abraham, Ruiyuan Guo, Srin...
CEC
2010
IEEE
13 years 11 months ago
Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)
Inspired originally by the Learnable Evolution Model(LEM) [5], we investigate LEM(ID3), a hybrid of evolutionary search with ID3 decision tree learning. LEM(ID3) involves interleav...
Guleng Sheri, David Corne