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» Permutation Tests for Classification
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ICML
2002
IEEE
14 years 11 months ago
Cranking: Combining Rankings Using Conditional Probability Models on Permutations
A new approach to ensemble learning is introduced that takes ranking rather than classification as fundamental, leading to models on the symmetric group and its cosets. The approa...
Guy Lebanon, John D. Lafferty
VLSID
2002
IEEE
95views VLSI» more  VLSID 2002»
14 years 11 months ago
A Novel Method to Improve the Test Efficiency of VLSI Tests
This paper considers reducing the cost of test application by permuting test vectors to improve their defect coverage. Algorithms for test reordering are developed with the goal o...
Hailong Cui, Sharad C. Seth, Shashank K. Mehta
ICML
2003
IEEE
14 years 11 months ago
Unsupervised Learning with Permuted Data
We consider the problem of unsupervised learning from a matrix of data vectors where in each row the observed values are randomly permuted in an unknown fashion. Such problems ari...
Sergey Kirshner, Sridevi Parise, Padhraic Smyth
HM
2007
Springer
118views Optimization» more  HM 2007»
14 years 5 months ago
Evolutionary Clustering Search for Flowtime Minimization in Permutation Flow Shop
This paper deals with the Permutation Flow Shop scheduling problem with the objective of minimizing total flow time, and therefore reducing in-process inventory. A new hybrid meta...
Geraldo Ribeiro Filho, Marcelo Seido Nagano, Luiz ...
SC
1994
ACM
14 years 3 months ago
The range test: a dependence test for symbolic, non-linear expressions
Most current data dependence tests cannot handle loop bounds or array subscripts that are symbolic, nonlinear expressions e.g. Ani+j, where 0 j n. In this paper, we describe a d...
William Blume, Rudolf Eigenmann