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ICMLC
2010
Springer
13 years 7 months ago
Optimization of bagging classifiers based on SBCB algorithm
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
Xiao-Dong Zeng, Sam Chao, Fai Wong
AI
2001
Springer
14 years 1 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
AIED
2009
Springer
14 years 3 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross
ACSD
2003
IEEE
102views Hardware» more  ACSD 2003»
14 years 20 days ago
Specification Coverage Aided Test Selection
In this paper test selection strategies in formal conformance testing are considered. As the testing conformance relation we use the ioco relation, and extend the previously prese...
Tuomo Pyhälä, Keijo Heljanko
ICIP
2006
IEEE
14 years 10 months ago
Low Complexity Inter-Mode Selection for H.264
The coding efficiency of the H.264/AVC standard enables the transmission of high quality video over bandwidth limited networks. Due to the use of multiple Macroblock (MB) partitio...
Seydou-Nourou Ba, Yucel Altunbasak, Hasan F. Ates