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» The Indifferent Naive Bayes Classifier
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FLAIRS
2004
14 years 10 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
DATAMINE
2010
122views more  DATAMINE 2010»
14 years 9 months ago
Three naive Bayes approaches for discrimination-free classification
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
Toon Calders, Sicco Verwer
ICPR
2004
IEEE
15 years 10 months ago
Attribute Relevance in Multiclass Data Sets Using the Naive Bayes Rule
Feature selection using the naive Bayes rule is presented for the case of multiclass data sets. In this paper, the EM algorithm is applied to each class projected over the feature...
José Martínez Sotoca, José Sa...
ADMA
2005
Springer
157views Data Mining» more  ADMA 2005»
15 years 3 months ago
Learning k-Nearest Neighbor Naive Bayes for Ranking
Accurate probability-based ranking of instances is crucial in many real-world data mining applications. KNN (k-nearest neighbor) [1] has been intensively studied as an effective c...
Liangxiao Jiang, Harry Zhang, Jiang Su
TCBB
2010
163views more  TCBB 2010»
14 years 4 months ago
Classification of Protein-Protein Interaction Full-Text Documents Using Text and Citation Network Features
Abstract--We participated (as Team 9) in the Article Classification Task of the Biocreative II.5 Challenge: binary classification of fulltext documents relevant for protein-protein...
Artemy Kolchinsky, Alaa Abi-Haidar, Jasleen Kaur, ...