Results 221 to 230 of about 48,962 (256)

A Fundamental Issue of Naive Bayes

2003
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. But the conditional independence assumption on which it is based, is rarely true in real-world applications. Researchers extended naive Bayes to represent dependence explicitly, and proposed related learning algorithms based on ...
Harry Zhang, Charles X. Ling
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Naive Bayes Investing

2021
With the help of the Naive Bayes classifier, this master thesis attempts to generate a trading strategy that outperforms the returns of two selected stock markets, the German (DAX) and the American (S&P 500) stock market, over a period ranging from 2004 to 2019. Trading decisions are made based on the a-posteriori probabilities derived based on the
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Naive Feature Selection: Sparsity in Naive Bayes.

CoRR, 2019
Due to its linear complexity, naive Bayes classification remains an attractive supervised learning method, especially in very large-scale settings. We propose a sparse version of naive Bayes, which can be used for feature selection. This leads to a combinatorial maximum-likelihood problem, for which we provide an exact solution in the case of binary ...
Askari, Armin, d'Aspremont, Alexandre, Ghaoui, Laurent El   +2 more
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Generalized Naive Bayes Classifiers

ACM SIGKDD Explorations Newsletter, 2005
This paper presents a generalization of the Naive Bayes Classifier. The method is specifically designed for binary classification problems commonly found in credit scoring and marketing applications. The Generalized Naive Bayes Classifier turns out to be a powerful tool for both exploratory and predictive analysis.
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Naive Bayes

2023
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Naives Bayes-Klassifikationsverfahren

2020
Das naive Bayes-Verfahren ist ein weiteres Klassifikationsverfahren. Es wird zunachst fur jede Klasse die Wahrscheinlichkeit geschatzt, mit der ein Objekt zu dieser Klasse gehort, wobei die aus der Statistik bekannte Bayes-Formel fur bedingte Wahrscheinlichkeiten benutzt wird.
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Naive Bayes

2012
Xiaowei Huang, Gaojie Jin, Wenjie Ruan
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Attribute and instance weighted naive Bayes

Pattern Recognition, 2021
Liangjun Yu, Huan Zhang, Liangxiao Jiang
exaly  

Naive Bayes

2016
Jürgen Janssen, Wilfried Laatz
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Two feature weighting approaches for naive Bayes text classifiers

Knowledge-Based Systems, 2016
Chaoqun Li, Liangxiao Jiang
exaly