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» Machine learning problems from optimization perspective
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IDA
2005
Springer
14 years 2 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer
ICML
2006
IEEE
14 years 10 months ago
The support vector decomposition machine
In machine learning problems with tens of thousands of features and only dozens or hundreds of independent training examples, dimensionality reduction is essential for good learni...
Francisco Pereira, Geoffrey J. Gordon
EMO
2003
Springer
136views Optimization» more  EMO 2003»
14 years 2 months ago
Solving Multi-criteria Optimization Problems with Population-Based ACO
In this paper a Population-based Ant Colony Optimization approach is proposed to solve multi-criteria optimization problems where the population of solutions is chosen from the set...
Michael Guntsch, Martin Middendorf
DAGSTUHL
2006
13 years 10 months ago
Decentralization and Mechanism Design for Online Machine Scheduling
We study the online version of the classical parallel machine scheduling problem to minimize the total weighted completion time from a new perspective: We assume that the data of ...
Birgit Heydenreich, Rudolf Müller, Marc Uetz
AIED
2007
Springer
14 years 3 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu