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KDD
2006
ACM
201views Data Mining» more  KDD 2006»
14 years 5 months ago
Polynomial association rules with applications to logistic regression
A new class of associations (polynomial itemsets and polynomial association rules) is presented which allows for discovering nonlinear relationships between numeric attributes wit...
Szymon Jaroszewicz
ESEM
2008
ACM
13 years 7 months ago
A hybrid faulty module prediction using association rule mining and logistic regression analysis
This paper proposes a fault-prone module prediction method that combines association rule mining with logistic regression analysis. In the proposed method, we focus on three key m...
Yasutaka Kamei, Akito Monden, Shuuji Morisaki, Ken...
ICML
2010
IEEE
13 years 6 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
EOR
2007
165views more  EOR 2007»
13 years 5 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
EMNLP
2008
13 years 6 months ago
A Discriminative Candidate Generator for String Transformations
String transformation, which maps a source string s into its desirable form t , is related to various applications including stemming, lemmatization, and spelling correction. The ...
Naoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiad...