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Ключевое слово bagging [15 articles]

Recent papers classified by the tag bagging.
  • Bagging, Boosting, and C4.5
    (1996), pp. 725-730.
    by Ross J Quinlan
    posted to boosting bagging by Vezhnick on 2007-01-21 20:57:42 as *****
  • A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
    (2000), pp. 564-569.
    by Pedro Domingos
    posted to bagging boosting learning overfitting by Vezhnick on 2007-01-24 08:06:10 as *****
  • An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
    Machine Learning, Vol. 36, No. 1-2. (1999), pp. 105-139.
    by Eric Bauer, Ron Kohavi
    posted to bagging boosting network neural by spt on 2007-06-30 11:55:12 as ***
  • Bagging Predictors
    Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140.
    by Leo Breiman
    posted to bagging survey by sona on 2008-04-09 19:02:00 as **** along with 3 people drivard ngarera maheshj
  • Bootstrap - Inspired Techniques in Computation Intelligence
    Signal Processing Magazine, IEEE, Vol. 24, No. 4. (2007), pp. 59-72.
    by R Polikar
    posted to mixture-of-experts missing-feature incremental-learning data-fusion boosting bagging adaboost by sona on 2008-07-18 13:51:20 as *****
  • Parallelizing Boosting and Bagging
    (2001)
    by C Yu, D Skillicorn
    posted to bagging boosting parallelizing by scis0000001 on 2007-04-29 16:08:04 as **
  • An Empirical Evaluation of Bagging and Boosting
    (1997), pp. 546-551.
    by Richard Maclin, David Opitz
    posted to bagging boosting by rogerblake on 2007-03-18 18:21:55 as **
  • Bagging Predictors
    Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140.
    by Leo Breiman
    posted to bagging breiman by Repton on 2007-02-26 02:22:14 as ** along with 18 people and 2 groups floares askom eegilbert gyuli kevynct neteler kaarsinogen ChaTo lfriedl mukundn mthomure sdvillal KaraNagai lbatista robincha girschick thangvu wlyu2001 kdl LIVIA
  • Investigations of bagged kernel partial least squares (KPLS) and boosting KPLS with applications to near-infrared (NIR) spectra
    Journal of Chemometrics, Vol. 20, No. 8-10. (2006), pp. 436-444.
    by Hideyuki Shinzawa, Jian-Hui Jiang, Pitiporn Ritthiruangdej, Yukihiro Ozaki
    posted to bagging boosting pls by nigelsim on 2007-10-03 04:31:45 as **
  • Bias, Variance, and Arcing Classifiers
    (1996)
    by L Breiman
    posted to bagging by mukundn on 2005-11-30 08:52:54 as **
  • A Theoretical Analysis of Bagging as a Linear Combination of Classifiers
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 7. (2008), pp. 1293-1299.
    by Giorgio Fumera, Roli Fabio, Serrau Alessandra
    posted to model-averaging bagging by jreedgt on 2008-06-13 18:07:26 as read along with 1 person jjrodriguez
  • Tree Induction for Probability-Based Ranking
    Machine Learning, Vol. 52, No. 3. (September 2003), pp. 199-215.
    by Foster Provost, Pedro Domingos
    posted to bagging ranking tree by jdu on 2008-03-01 02:33:27 as ** along with 1 person and 1 group bcroy MAML
  • Learning by Bagging and Adaboost based on Support Vector Machine
    Industrial Informatics, 2007 5th IEEE International Conference on, Vol. 2 (2007), pp. 663-668.
    by Yu Wang, Cheng De Lin
    posted to adaboost bagging svm by haiyeong on 2008-04-01 02:10:01 as **
  • notes Combining Bagging, Boosting and Dagging for Classification Problems
    Knowledge-Based Intelligent Information and Engineering Systems (2007), pp. 493-500.
    by S Kotsianti, D Kanellopoulos
    posted to bagging boosting dagging ensemble by haiyeong on 2008-02-25 22:21:35 as read
  • Combining Predictors: Comparison of Five Meta Machine Learning Methods
    Information Sciences, Vol. 119, No. 1-2. (1999), pp. 91-105.
    by Jakob V Hansen
    posted to bagging boosting meta-learning mixtures-of-experts neural-networks nn by gagliol on 2007-12-14 16:51:40 as **
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