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» Extremal Optimization: Methods derived from Co-Evolution
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ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 3 months ago
Active Learning of Equivalence Relations by Minimizing the Expected Loss Using Constraint Inference
Selecting promising queries is the key to effective active learning. In this paper, we investigate selection techniques for the task of learning an equivalence relation where the ...
Steffen Rendle, Lars Schmidt-Thieme
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 2 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
AIRS
2006
Springer
14 years 11 days ago
A Novel Ant-Based Clustering Approach for Document Clustering
Recently, much research has been proposed using nature inspired algorithms to perform complex machine learning tasks. Ant Colony Optimization (ACO) is one such algorithm based on s...
Yulan He, Siu Cheung Hui, Yongxiang Sim
NIPS
2008
13 years 10 months ago
Support Vector Machines with a Reject Option
We consider the problem of binary classification where the classifier may abstain instead of classifying each observation. The Bayes decision rule for this setup, known as Chow�...
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshe...
BNCOD
1997
76views Database» more  BNCOD 1997»
13 years 10 months ago
Query Evaluation in CROQUE - Calculus and Algebra Coincide
With the substantial change of declarative query languages from plain SQL to the so-called \object SQLs", in particular OQL, there has surprisingly been not much change in the...
Torsten Grust, Joachim Kröger, Dieter Gluche,...