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ICDM
2007
IEEE
154views Data Mining» more  ICDM 2007»
15 years 10 months ago
Cocktail Ensemble for Regression
This paper is motivated to improve the performance of individual ensembles using a hybrid mechanism in the regression setting. Based on an error-ambiguity decomposition, we formal...
Yang Yu, Zhi-Hua Zhou, Kai Ming Ting
MIDDLEWARE
2007
Springer
16 years 26 days ago
Using checkpointing to recover from poor multi-site parallel job scheduling decisions
Recent research in multi-site parallel job scheduling leverages user-provided estimates of job communication characteristics to effectively partition the job across multiple clus...
William M. Jones
TCOM
2008
105views more  TCOM 2008»
15 years 6 months ago
High-rate diversity across time and frequency using linear dispersion
To improve performance of orthogonal frequency division multiplexing (OFDM) for fading channels, this paper proposes increasing frequency and time diversity using linear dispersion...
Jinsong Wu, Steven D. Blostein
NC
1998
170views Neural Networks» more  NC 1998»
15 years 8 months ago
Neural Network Supported Adaptation in Case-based Reasoning
: This paper describes a system, which integrates Neural Network (NN) models into adaptation circle of Case-based Reasoning (CBR) system. Neural Network supported adaptation can pr...
Yain-Whar Si, Otakar Babka
DMIN
2006
158views Data Mining» more  DMIN 2006»
15 years 8 months ago
Ensemble Selection Using Diversity Networks
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
Qiang Ye, Paul W. Munro