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» Regularization Methods for Additive Models
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LICS
2010
IEEE
13 years 3 months ago
Addition-Invariant FO and Regularity
We consider formulas which, in addition to the symbols in the vocabulary, may use two designated symbols ≺ and + that must be interpreted as a linear order and its associated ad...
Nicole Schweikardt, Luc Segoufin
ML
2002
ACM
128views Machine Learning» more  ML 2002»
13 years 4 months ago
A Simple Method for Generating Additive Clustering Models with Limited Complexity
Additive clustering was originally developed within cognitive psychology to enable the development of featural models of human mental representation. The representational flexibili...
Michael D. Lee
ICML
2007
IEEE
14 years 5 months ago
Simple, robust, scalable semi-supervised learning via expectation regularization
Although semi-supervised learning has been an active area of research, its use in deployed applications is still relatively rare because the methods are often difficult to impleme...
Gideon S. Mann, Andrew McCallum
BMCBI
2010
109views more  BMCBI 2010»
13 years 5 months ago
Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model
Background: The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a dist...
Andrew J. Bordner, Hans D. Mittelmann
ACL
2007
13 years 6 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...