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PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
15 years 9 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
139
Voted
HT
2000
ACM
15 years 9 months ago
Reusable hypertext structures for distance and JIT learning
Software components for distance and just-in-time (JIT) learning are an increasingly common method of encouraging reuse and facilitating the development process[58], but no analog...
Anne Morgan Spalter, Rosemary Michelle Simpson
IJCAI
2007
15 years 6 months ago
Ensembles of Partially Trained SVMs with Multiplicative Updates
The training of support vector machines (SVM) involves a quadratic programming problem, which is often optimized by a complicated numerical solver. In this paper, we propose a muc...
Ivor W. Tsang, James T. Kwok
DATE
2009
IEEE
116views Hardware» more  DATE 2009»
15 years 11 months ago
An MDE methodology for the development of high-integrity real-time systems
—This paper reports on experience gained and lessons learned from an intensive investigation of model-driven engineering methodology and technology for application to high-integr...
Silvia Mazzini, Stefano Puri, Tullio Vardanega
PR
2007
139views more  PR 2007»
15 years 4 months ago
Learning the kernel matrix by maximizing a KFD-based class separability criterion
The advantage of a kernel method often depends critically on a proper choice of the kernel function. A promising approach is to learn the kernel from data automatically. In this p...
Dit-Yan Yeung, Hong Chang, Guang Dai