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» Complexities for generalized models of self-assembly
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ICML
2007
IEEE
16 years 7 months ago
A recursive method for discriminative mixture learning
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
Minyoung Kim, Vladimir Pavlovic
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
16 years 19 days ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
AMC
2006
100views more  AMC 2006»
15 years 6 months ago
Reliability evaluation of multi-component cold-standby redundant systems
A new methodology for the reliability evaluation of an l-dissimilar-unit non-repairable cold-standby redundant system is introduced in this paper. Each unit is composed of a numbe...
Amir Azaron, Hideki Katagiri, Kosuke Kato, Masatos...
ALT
2006
Springer
16 years 3 months ago
Active Learning in the Non-realizable Case
Most of the existing active learning algorithms are based on the realizability assumption: The learner’s hypothesis class is assumed to contain a target function that perfectly c...
Matti Kääriäinen
COMPGEOM
2011
ACM
14 years 10 months ago
Deconstructing approximate offsets
We consider the offset-deconstruction problem: Given a polygonal shape Q with n vertices, can it be expressed, up to a tolerance ε in Hausdorff distance, as the Minkowski sum o...
Eric Berberich, Dan Halperin, Michael Kerber, Roza...