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» Generalization Bounds for Some Ordinal Regression Algorithms
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GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
14 years 1 months ago
Search space modulation in genetic algorithms: evolving the search space by sinusoidal transformations
An experimental form of Modulation (Reinterpretation) of the Search Space is presented. This modulation is developed as a mathematical method that can be implemented directly into...
José Antonio Martin H.
TIT
2002
102views more  TIT 2002»
13 years 8 months ago
Asymptotic efficiency of two-stage disjunctive testing
Abstract--We adapt methods originally developed in information and coding theory to solve some testing problems. The efficiency of two-stage pool testing of items is characterized ...
Toby Berger, Vladimir I. Levenshtein
NIPS
2007
13 years 10 months ago
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
We present a new local approximation algorithm for computing MAP and logpartition function for arbitrary exponential family distribution represented by a finite-valued pair-wise ...
Kyomin Jung, Devavrat Shah
JMLR
2010
135views more  JMLR 2010»
13 years 7 months ago
Bundle Methods for Regularized Risk Minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
Choon Hui Teo, S. V. N. Vishwanathan, Alex J. Smol...
FSTTCS
2006
Springer
14 years 4 days ago
Fast Exponential Algorithms for Maximum r-Regular Induced Subgraph Problems
Given a graph G=(V, E) on n vertices, the MAXIMUM r-REGULAR INDUCED SUBGRAPH (M-r-RIS) problems ask for a maximum sized subset of vertices R V such that the induced subgraph on R,...
Sushmita Gupta, Venkatesh Raman, Saket Saurabh