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CSDA
2007
106views more  CSDA 2007»
13 years 5 months ago
Parsimonious additive models
A new method for function estimation and variable selection, specifically designed for additive models fitted by cubic splines is proposed.This new method involves regularizing ...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
SIGIR
2008
ACM
13 years 5 months ago
Using parsimonious language models on web data
In this paper we explore the use of parsimonious language models for web retrieval. These models are smaller thus more efficient than the standard language models and are therefor...
Rianne Kaptein, Rongmei Li, Djoerd Hiemstra, Jaap ...
IPM
2007
105views more  IPM 2007»
13 years 5 months ago
Parsimonious translation models for information retrieval
In the KL divergence framework, the extended language modeling approach has a critical problem estimating a query model, which is the probabilistic model that encodes user’s inf...
Seung-Hoon Na, In-Su Kang, Jong-Hyeok Lee
ICPR
2002
IEEE
14 years 6 months ago
Learning Bayesian Network Classifiers for Credit Scoring Using Markov Chain Monte Carlo Search
In this paper, we will evaluate the power and usefulness of Bayesian network classifiers for credit scoring. Various types of Bayesian network classifiers will be evaluated and co...
Bart Baesens, Michael Egmont-Petersen, Robert Cast...
TCBB
2008
107views more  TCBB 2008»
13 years 5 months ago
Progressive Tree Neighborhood Applied to the Maximum Parsimony Problem
Abstract-- The Maximum Parsimony problem aims at reconstructing a phylogenetic tree from DNA sequences while minimizing the number of genetic transformations. To solve this NP-comp...
Adrien Goëffon, Jean-Michel Richer, Jin-Kao H...