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ICML
2007
IEEE
16 years 18 days ago
A fast linear separability test by projection of positive points on subspaces
A geometric and non parametric procedure for testing if two nite set of points are linearly separable is proposed. The Linear Separability Test is equivalent to a test that deter...
A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal
ECML
2005
Springer
15 years 5 months ago
Rotational Prior Knowledge for SVMs
Incorporation of prior knowledge into the learning process can significantly improve low-sample classification accuracy. We show how to introduce prior knowledge into linear supp...
Arkady Epshteyn, Gerald DeJong
NIPS
2003
15 years 1 months ago
Wormholes Improve Contrastive Divergence
In models that define probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the ...
Geoffrey E. Hinton, Max Welling, Andriy Mnih
AAAI
1994
15 years 1 months ago
Learning to Reason
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Roni Khardon, Dan Roth
PROCEDIA
2010
97views more  PROCEDIA 2010»
14 years 10 months ago
Ontological musings on how nature computes
Modern physical theory and modern computational techniques are used to provide conjecture on how nature computes. I utilize time-domain simulation of physical phenomena and build ...
J. F. Nystrom