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» Algorithmics in Exponential Time
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ICML
2009
IEEE
16 years 7 months ago
Herding dynamical weights to learn
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
Max Welling
STOC
2002
ACM
124views Algorithms» more  STOC 2002»
16 years 7 months ago
Clairvoyant scheduling of random walks
Two infinite walks on the same finite graph are called compatible if it is possible to introduce delays into them in such a way that they never collide. Years ago, Peter Winkler a...
Péter Gács
STOC
2001
ACM
140views Algorithms» more  STOC 2001»
16 years 7 months ago
Compatible sequences and a slow Winkler percolation
Two infinite 0-1 sequences are called compatible when it is possible to cast out 0's from both in such a way that they become complementary to each other. Answering a question...
Péter Gács
ALT
2008
Springer
16 years 3 months ago
A Uniform Lower Error Bound for Half-Space Learning
Abstract. We give a lower bound for the error of any unitarily invariant algorithm learning half-spaces against the uniform or related distributions on the unit sphere. The bound i...
Andreas Maurer, Massimiliano Pontil
ICASSP
2008
IEEE
16 years 1 months ago
Ratio semi-definite classifiers
We present a novel classification model that is formulated as a ratio of semi-definite polynomials. We derive an efficient learning algorithm for this classifier, and apply it...
Jonathan Malkin, Jeff Bilmes