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ECML
2005
Springer
14 years 3 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
GECCO
2008
Springer
134views Optimization» more  GECCO 2008»
13 years 11 months ago
Branch predictor on-line evolutionary system
In this work a branch prediction system which utilizes evolutionary techniques is introduced. It allows the predictor to adapt to the executed code and thus to improve its perform...
Karel Slany
MTA
2007
72views more  MTA 2007»
13 years 9 months ago
An improved variable-size block-matching algorithm
In this paper, we proposed an improved “bottom-up” variable-size block matching method. Different from previous work, the proposed method does not need any threshold during th...
Haifeng Wang, Qingshan Liu, Hanqing Lu
HCI
2009
13 years 7 months ago
Towards Cognitive-Aware Multimodal Presentation: The Modality Effects in High-Load HCI
In this study, we argue that multimodal presentations should be created in a cognitive-aware manner, especially in a high-load HCI situation where the user task challenges the full...
Yujia Cao, Mariët Theune, Anton Nijholt
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
13 years 7 months ago
A Practical Differentially Private Random Decision Tree Classifier
In this paper, we study the problem of constructing private classifiers using decision trees, within the framework of differential privacy. We first construct privacy-preserving ID...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...