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» A New Class Based Associative Classification Algorithm
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SIAMSC
2008
125views more  SIAMSC 2008»
13 years 10 months ago
Hybrid Simulations of Reaction-Diffusion Systems in Porous Media
Abstract. Hybrid or multiphysics algorithms provide an efficient computational tool for combining micro- and macroscale descriptions of physical phenomena. Their use becomes impera...
Alexandre M. Tartakovsky, Daniel M. Tartakovsky, T...
ICMLA
2009
13 years 8 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
AAAI
1994
13 years 11 months ago
Inductive Learning For Abductive Diagnosis
A new inductive learning system, Lab Learning for ABduction, is presented which acquires abductive rules from a set of training examples. The goal is to nd a small knowledge base ...
Cynthia A. Thompson, Raymond J. Mooney
ECCV
2008
Springer
15 years 4 days ago
Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles
This paper presents a new MRF optimization algorithm, which is derived from Linear Programming and manages to go beyond current state-of-the-art techniques (such as those based on ...
Nikos Komodakis, Nikos Paragios
PR
2008
85views more  PR 2008»
13 years 10 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders