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» Extended Input Space Support Vector Machine
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ICML
2007
IEEE
14 years 9 months ago
Direct convex relaxations of sparse SVM
Although support vector machines (SVMs) for binary classification give rise to a decision rule that only relies on a subset of the training data points (support vectors), it will ...
Antoni B. Chan, Nuno Vasconcelos, Gert R. G. Lanck...
ECML
2004
Springer
14 years 1 months ago
Experiments in Value Function Approximation with Sparse Support Vector Regression
Abstract. We present first experiments using Support Vector Regression as function approximator for an on-line, sarsa-like reinforcement learner. To overcome the batch nature of S...
Tobias Jung, Thomas Uthmann
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
13 years 6 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
AHS
2007
IEEE
219views Hardware» more  AHS 2007»
14 years 2 months ago
A learning machine for resource-limited adaptive hardware
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...
Davide Anguita, Alessandro Ghio, Stefano Pischiutt...
CODES
2008
IEEE
14 years 2 months ago
Extending open core protocol to support system-level cache coherence
Open Core Protocol (OCP) is a standard on-chip core interface specification. The current release is flexible and configurable to support the communication needs of a wide range...
Konstantinos Aisopos, Chien-Chun Chou, Li-Shiuan P...