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» A New Class Based Associative Classification Algorithm
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SIAMSC
2008
125views more  SIAMSC 2008»
15 years 2 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...
124
Voted
ICMLA
2009
14 years 12 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
15 years 3 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
93
Voted
ECCV
2008
Springer
16 years 4 months 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
117
Voted
PR
2008
85views more  PR 2008»
15 years 2 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