4.6 Article

Non-Naive Bayesian Classifiers for Classification Problems With Continuous Attributes

Related references

Note: Only part of the references are listed.
Article Statistics & Probability

Nonparametric Kernel Distribution Function Estimation withkerdiest: AnRPackage for Bandwidth Choice and Applications

Alejandro Quintela-del-Río et al.

Journal of Statistical Software (2015)

Article Computer Science, Artificial Intelligence

Performance of global-local hybrid ensemble versus boosting and bagging ensembles

Dustin Baumgartner et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2013)

Article Computer Science, Artificial Intelligence

Maximum Ambiguity-Based Sample Selection in Fuzzy Decision Tree Induction

Xi-Zhao Wang et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2012)

Article Engineering, Electrical & Electronic

NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization

Naiyang Guan et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)

Article Computer Science, Artificial Intelligence

A hybrid discretization method for naive Bayesian classifiers

Tzu-Tsung Wong

PATTERN RECOGNITION (2012)

Article Computer Science, Artificial Intelligence

Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains

Chao Zhang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

Online Nonnegative Matrix Factorization With Robust Stochastic Approximation

Naiyang Guan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2012)

Article Computer Science, Artificial Intelligence

Manifold elastic net: a unified framework for sparse dimension reduction

Tianyi Zhou et al.

DATA MINING AND KNOWLEDGE DISCOVERY (2011)

Article Computer Science, Artificial Intelligence

A 'non-parametric' version of the naive Bayes classifier

Daniele Soria et al.

KNOWLEDGE-BASED SYSTEMS (2011)

Article Computer Science, Artificial Intelligence

Separating theorem of samples in Banach space for support vector machine learning

Qiang He et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2011)

Article Engineering, Electrical & Electronic

Double Sparsity: Learning Sparse Dictionaries for Sparse Signal Approximation

Ron Rubinstein et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2010)

Article Computer Science, Artificial Intelligence

Improving Generalization of Fuzzy IF-THEN Rules by Maximizing Fuzzy Entropy

Xi-Zhao Wang et al.

IEEE TRANSACTIONS ON FUZZY SYSTEMS (2009)

Article Computer Science, Artificial Intelligence

Geometric Mean for Subspace Selection

Dacheng Tao et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)

Article Computer Science, Artificial Intelligence

Bayesian classifiers based on kernel density estimation: Flexible classifiers

Aritz Perez et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2009)

Article Computer Science, Artificial Intelligence

Discretization for naive-Bayes learning: managing discretization bias and variance

Ying Yang et al.

MACHINE LEARNING (2009)

Article Computer Science, Artificial Intelligence

A simple generalisation of the area under the ROC curve for multiple class classification problems

DJ Hand et al.

MACHINE LEARNING (2001)