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KDD
2005
ACM
168views Data Mining» more  KDD 2005»
14 years 8 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...
OSDI
2004
ACM
14 years 8 months ago
ksniffer: Determining the Remote Client Perceived Response Time from Live Packet Streams
As dependence on the World Wide Web continues to grow, so does the need for businesses to have quantitative measures of the client perceived response times of their Web services. ...
David P. Olshefski, Jason Nieh, Erich M. Nahum
CVPR
2010
IEEE
14 years 4 months ago
Sufficient Dimensionality Reduction for Visual Sequence Classification
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...
Alex Shyr, Raquel Urtasun, Michael Jordan
WSOM
2009
Springer
14 years 2 months ago
Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties
In our earlier work, we found that feature space induced by tactile receptive fields (TRFs) are better than that by visual receptive fields (VRFs) in texture boundary detection t...
Choonseog Park, Heeyoul Choi, Yoonsuck Choe
IDA
2009
Springer
14 years 2 months 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