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Ключевое слово naivebayes [11 articles]

Recent papers classified by the tag naivebayes.
  • Structural extension to logistic regression: discriminative parameter learning of belief net classifiers
    (2002), pp. 167-173.
    by Russell Greiner, Wei Zhou
  • notes Understanding Probabilistic Classifiers
    (2001), pp. 179-191.
    by Ashutosh Garg, Dan Roth
    posted to maxent naivebayes by yaroslavvb on 2005-10-29 06:18:43 as ** along with 1 person JoSeK
  • On Bias, Variance, 0/1-Loss, and the Curse-of-Dimensionality
    Data Mining and Knowledge Discovery, Vol. 1, No. 1. (1997), pp. 55-77.
    by JH Friedman
    posted to naivebayes by yaroslavvb on 2005-10-29 05:49:00 as **
  • Latent Classification Models
    Machine Learning, Vol. 59, No. 3. (June 2005), pp. 237-265.
    by Helge Langseth, Thomas Nielsen
    posted to bayesian classification naivebayes by wnpx on 2005-12-30 17:18:58 as **
  • Geometric Implications of the Naive Bayes Assumption
    (1996), pp. 414-419.
    by Mark A Peot
  • Improving Multi-class Text Classification with Naive Bayes
    (2001)
    by Jason DM Rennie
    posted to bayesian naivebayes text-classification by JoSeK on 2005-10-16 21:36:13 as **
  • Scaling Up the Accuracy of Naive-Bayes Classifiers: a Decision-Tree Hybrid
    (1996), pp. 202-207.
    by Ron Kohavi
    posted to bayesian naivebayes by JoSeK on 2005-10-16 21:39:18 as **
  • Naive (Bayes) at forty: The independence assumption in information retrieval.
    No. 1398. (1998), pp. 4-15.
    by David D Lewis
    edited by Claire Nédellec, Céline Rouveirol
  • Improving simple Bayes
    (1997)
    posted to bayesian naivebayes by JoSeK on 2005-10-16 21:33:55 as **
  • Why Discretization Works for Näive Bayesian Classifiers
    (2000), pp. 399-406.
    by Chun N Hsu, Hung J Huang, Tzu T Wong
    posted to bayesian naivebayes by JoSeK on 2005-10-16 21:38:24 as ** along with 1 person carter
  • Feature Selection for Unbalanced Class Distribution and Naive Bayes
    (1999), pp. 258-267.
    by Dunja Mladenic, Marko Grobelnik
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