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COMBINATORICS
2000
101views more  COMBINATORICS 2000»
13 years 4 months ago
Random Sampling of Labeled Tournaments
This note extends a recent result of Kannan, Tetali and Vempala to completely solve, via a simple proof, the problem of random generation of a labeled tournament with a given scor...
Lisa McShine
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
13 years 11 months ago
A study of mutational robustness as the product of evolutionary computation
This paper investigates the ability of a tournament selection based genetic algorithm to find mutationally robust solutions to a simple combinatorial optimization problem. Two di...
Justin Schonfeld
ICCV
2011
IEEE
12 years 4 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille
KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 5 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
CVPR
2004
IEEE
14 years 6 months ago
Random Sampling Based SVM for Relevance Feedback Image Retrieval
Relevance feedback (RF) schemes based on support vector machine (SVM) have been widely used in content-based image retrieval. However, the performance of SVM based RF is often poo...
Dacheng Tao, Xiaoou Tang