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» The Variability Model of The Linux Kernel
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IDA
2009
Springer
14 years 10 days ago
Estimating Squared-Loss Mutual Information for Independent Component Analysis
Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
Taiji Suzuki, Masashi Sugiyama
PKDD
2009
Springer
118views Data Mining» more  PKDD 2009»
14 years 10 days ago
The Feature Importance Ranking Measure
Most accurate predictions are typically obtained by learning machines with complex feature spaces (as e.g. induced by kernels). Unfortunately, such decision rules are hardly access...
Alexander Zien, Nicole Krämer, Sören Son...
SCALESPACE
2007
Springer
13 years 12 months ago
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising
Abstract. Natural images consist of texture, structure and smooth regions and this makes the task of filtering challenging mainly when it aims at edge and texture preservation. In...
Noura Azzabou, Nikos Paragios, Frederic Guichard
VECPAR
2004
Springer
13 years 11 months ago
Message Strip-Mining Heuristics for High Speed Networks
In this work we investigate how the compiler technique of message strip mining performs in practice on contemporary high performance networks. Message strip mining attempts to redu...
Costin Iancu, Parry Husbands, Wei Chen
NIPS
2007
13 years 7 months ago
Density Estimation under Independent Similarly Distributed Sampling Assumptions
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
Tony Jebara, Yingbo Song, Kapil Thadani