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» Interpretable Piecewise Linear Classifier
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ICML
2000
IEEE
14 years 10 months ago
Duality and Geometry in SVM Classifiers
We develop an intuitive geometric interpretation of the standard support vector machine (SVM) for classification of both linearly separable and inseparable data and provide a rigo...
Kristin P. Bennett, Erin J. Bredensteiner
SIAMCO
2002
124views more  SIAMCO 2002»
13 years 9 months ago
On Reachability Under Uncertainty
The paper studies the problem of reachability for linear systems in the presence of uncertain input disturbances that may also be interpreted as the action of an adversary in a ga...
Alexander B. Kurzhanski, Pravin Varaiya
IPMI
2011
Springer
13 years 1 months ago
Generalized Sparse Regularization with Application to fMRI Brain Decoding
Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
Bernard Ng, Rafeef Abugharbieh
ACL
2010
13 years 7 months ago
Hard Constraints for Grammatical Function Labelling
For languages with (semi-) free word order (such as German), labelling grammatical functions on top of phrase-structural constituent analyses is crucial for making them interpreta...
Wolfgang Seeker, Ines Rehbein, Jonas Kuhn, Josef v...
AAAI
2000
13 years 11 months ago
Visual Event Classification via Force Dynamics
This paper presents an implemented system, called LEONARD, that classifies simple spatial motion events, such as pick up and put down, from video input. Unlike previous systems th...
Jeffrey Mark Siskind