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» On Different Facets of Regularization Theory
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KDD
2007
ACM
132views Data Mining» more  KDD 2007»
14 years 8 months ago
A scalable modular convex solver for regularized risk minimization
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
ISPD
2003
ACM
88views Hardware» more  ISPD 2003»
14 years 24 days ago
Synthesis and placement flow for gain-based programmable regular fabrics
In this paper we present the Gain-based Logic Block Array (GLA), a new via-programmable regular fabric. GLA is an array of Gainbased Logic Blocks (GLBs). The GLB is a semi-univers...
Bo Hu, Hailin Jiang, Qinghua Liu, Malgorzata Marek...
NIPS
2000
13 years 9 months ago
Regularized Winnow Methods
In theory, the Winnow multiplicative update has certain advantages over the Perceptron additive update when there are many irrelevant attributes. Recently, there has been much eff...
Tong Zhang
CONCUR
2008
Springer
13 years 9 months ago
A Context-Free Process as a Pushdown Automaton
A well-known theorem in automata theory states that every context-free language is accepted by a pushdown automaton. We investigate this theorem in the setting of processes, using ...
Jos C. M. Baeten, Pieter J. L. Cuijpers, P. J. A. ...
BMCBI
2005
131views more  BMCBI 2005»
13 years 7 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...