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» Unifying Theories of Objects
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ICML
2000
IEEE
14 years 8 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
ISBI
2004
IEEE
14 years 8 months ago
Pareto Depth Sampling Distributions for Gene Ranking
In this paper we propose a method for gene ranking from microarray experiments using multiple discriminants. The novelty of our approach is that a gene's relative rank is det...
Alfred O. Hero, Sepidarseh Zareparsi, Anand Swaroo...
CP
2009
Springer
14 years 8 months ago
Modelling Equidistant Frequency Permutation Arrays: An Application of Constraints to Mathematics
Equidistant Frequency Permutation Arrays are combinatorial objects of interest in coding theory. A frequency permutation array is a type of constant composition code in which each ...
Sophie Huczynska, Paul McKay, Ian Miguel, Peter Ni...
PODS
2006
ACM
107views Database» more  PODS 2006»
14 years 8 months ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar
ICSE
2005
IEEE-ACM
14 years 8 months ago
Aspect-oriented programming and modular reasoning
Aspects cut new interfaces through the primary decomposition of a system. This implies that in the presence of aspects, the complete interface of a module can only be determined o...
Gregor Kiczales, Mira Mezini