Variable selection for Naïve Bayes classification

Optimal Randomized Classification Trees

(2021) Rafael Blanquero et al.   COMPUTERS & OPERATIONS RESEARCH

Mathematical optimization in classification and regression trees

(2021) Emilio Carrizosa et al.   Top

A cost-sensitive constrained Lasso

(2020) Rafael Blanquero et al.   Advances in Data Analysis and Classification

Class-specific attribute value weighting for Naive Bayes

(2019) Huan Zhang et al.   INFORMATION SCIENCES

A novel selective naïve Bayes algorithm

(2019) Shenglei Chen et al.   KNOWLEDGE-BASED SYSTEMS

A Correlation-based Feature Weighting Filter for Naive Bayes

(2018) Liangxiao Jiang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

On support vector machines under a multiple-cost scenario

(2018) Sandra Benítez-Peña et al.   Advances in Data Analysis and Classification

Class-specific attribute weighted naive Bayes

(2018) Liangxiao Jiang et al.   PATTERN RECOGNITION

Toward Optimal Feature Selection in Naive Bayes for Text Categorization

(2016) Bo Tang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

A Bayesian Classification Approach Using Class-Specific Features for Text Categorization

(2016) Bo Tang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Strongly agree or strongly disagree?: Rating features in Support Vector Machines

(2016) Emilio Carrizosa et al.   INFORMATION SCIENCES

Kernel Penalized K-means: A feature selection method based on Kernel K-means

(2015) Sebastián Maldonado et al.   INFORMATION SCIENCES

Risk Classification With an Adaptive Naive Bayes Kernel Machine Model

(2015) Jessica Minnier et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Feature subset selection using naive Bayes for text classification

(2015) Guozhong Feng et al.   PATTERN RECOGNITION LETTERS

A Naive Bayes machine learning approach to risk prediction using censored, time-to-event data

(2015) Julian Wolfson et al.   STATISTICS IN MEDICINE

Feature Selection with theBorutaPackage

(2015) Miron B. Kursa et al.   Journal of Statistical Software

Varying Naïve Bayes Models With Applications to Classification of Chinese Text Documents

(2014) Guoyu Guan et al.   JOURNAL OF BUSINESS & ECONOMIC STATISTICS

Biobjective sparse principal component analysis

(2014) Emilio Carrizosa et al.   JOURNAL OF MULTIVARIATE ANALYSIS

Sparse group lasso and high dimensional multinomial classification

(2013) Martin Vincent et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A mixed integer linear model for clustering with variable selection

(2013) Stefano Benati et al.   COMPUTERS & OPERATIONS RESEARCH

Speeding up incremental wrapper feature subset selection with Naive Bayes classifier

(2013) Pablo Bermejo et al.   KNOWLEDGE-BASED SYSTEMS

The Cluster Elastic Net for High-Dimensional Regression With Unknown Variable Grouping

(2013) Daniela M. Witten et al.   TECHNOMETRICS

Supervised classification and mathematical optimization

(2012) Emilio Carrizosa et al.   COMPUTERS & OPERATIONS RESEARCH

Not so greedy: Randomly Selected Naive Bayes

(2012) Liangxiao Jiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

VIF Regression: A Fast Regression Algorithm for Large Data

(2011) Dongyu Lin et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Detecting Novel Associations in Large Data Sets

(2011) D. N. Reshef et al.   SCIENCE

Using deep sequencing to characterize the biophysical mechanism of a transcriptional regulatory sequence

(2010) J. B. Kinney et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Feature selection for multi-label naive Bayes classification

(2009) Min-Ling Zhang et al.   INFORMATION SCIENCES

Variable Selection in Linear Regression With Many Predictors

(2009) Airong Cai et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Analysis of Naive Bayes’ assumptions on software fault data: An empirical study

(2008) Burak Turhan et al.   DATA & KNOWLEDGE ENGINEERING