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Ключевое слово boosting [147 articles]

Recent papers classified by the tag boosting.
  • 1997, A decision-theoretic generalization of on-line learning and an application to boosting
    (1995), pp. 23-37.
    by Yoav Freund, Robert E Schapire
  • 1999, Improved Boosting Using Confidence-rated Predictions
    Machine Learning, Vol. 37, No. 3. (1999), pp. 297-336.
    by Robert E Schapire, Yoram Singer
  • Sharing features: efficient boosting procedures for multiclass object detection
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on, Vol. 2 (2004), pp. II-762-II-769 Vol.2.
    by Antonio Torralba, Kevin P Murphy, William T Freeman
    posted to boosting by zeppe on 2007-07-31 11:35:25 as * along with 2 people canotilho Vezhnick
  • Sharing features: efficient boosting procedures for multiclass object detection
    (2004)
    posted to boosting machine_learning by zeppe on 2008-02-18 11:43:25 as ** along with 2 people gyuli olyweb
  • The boosting approach to machine learning: An overview
    (2001)
    by Robert E Schapire
  • notes Discriminative learning for label sequences via boosting
    (2003)
    by Y Altun, T Hofmann, M Johnson
    posted to boosting crf by yaroslavvb on 2006-04-01 20:53:14 as ** along with 2 people buescher76 oyen
  • Feature combination using boosting
    Pattern Recognition Letters, Vol. 26, No. 14. (15 October 2005), pp. 2195-2205.
    by Xu-Cheng Yin, Chang-Ping Liu, Zhi Han
    posted to boosting clustering fusion by xtizon on 2005-11-08 08:41:32 as ** along with 2 people ebrochu sdvillal
  • Boosting as a Regularized Path to a Maximum Margin Classifier
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 941-973.
    by Saharon Rosset, Ji Zhu, Trevor Hastie
    posted to margin machine_learning boosting by XIANG on 2008-07-22 16:43:05 as ****
  • notes A short introduction to boosting
    (1999)
  • BoosTexter: A Boosting-based System for Text Categorization
    Machine Learning, Vol. 39, No. 2/3. (2000), pp. 135-168.
    by Robert E Schapire, Yoram Singer
    posted to boosting categorization text by vlachmore on 2007-11-07 14:55:28 as **
  • Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods
    The Annals of Statistics, Vol. 26, No. 5. (1998), pp. 1651-1686.
    by Robert E Schapire, Yoav Freund, Peter Bartlett, Wee S Lee
    posted to boosting learning machine by vlachmore on 2007-10-04 17:17:04 as read along with 1 person bbabenko
  • Improved Boosting Algorithms Using Confidence-rated Predictions
    Mach. Learn., Vol. 37, No. 3. (December 1999), pp. 297-336.
    by Robert E Schapire, Yoram Singer
  • Ranking algorithms for named-entity extraction: boosting and the voted perceptron
    (2001), pp. 489-496.
    by Michael Collins
    posted to boosting entity named ner perceptron ranking recognition by vlachmore on 2007-10-04 18:42:11 as read
  • An efficient boosting algorithm for combining preferences
    J. Mach. Learn. Res., Vol. 4 (2003), pp. 933-969.
    by Yoav Freund, Raj Iyer, Robert E Schapire, Yoram Singer
    posted to boosting by vlachmore on 2007-12-19 14:45:30 as ** along with 1 person pprett
  • notes Unifying the error-correcting and output-code AdaBoost within the margin framework
    (2005), pp. 872-879.
    by Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu
  • notes Predicting Good Probabilities with Supervised Learning
    by Alexandru N Mizil, Rich Caruana
    posted to boosting estimation learning probability by Vezhnick on 2007-02-28 08:28:21 as *****
  • notes Totally corrective boosting algorithms that maximize the margin
    (2006), pp. 1001-1008.
    by Manfred K Warmuth, Jun Liao, Gunnar R&\#228;tsch
    posted to boosting learning by Vezhnick on 2007-01-17 22:21:40 as ****
  • TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation
    by Context M For
  • Boosting in the Limit: Maximizing the Margin of Learned Ensembles
    (1998), pp. 692-699.
    by Adam J Grove, Dale Schuurmans
    posted to overfitting boosting by Vezhnick on 2007-01-21 21:06:10 as ****
  • Bias-Variance Control via Hard Points Shaving
    posted to boosting by Vezhnick on 2007-01-21 20:58:58 as ****
  • 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 introduction to boosting and leveraging
    (2003), pp. 118-183.
    by Ron Meir, Gunnar Rätsch
  • Ensemble Learning for Free with Evolutionary Algorithms ?
    (30 Apr 2007)
    by Christian Gagné, Michèle Sebag, Marc Schoenauer, Marco Tomassini
    posted to boosting evolution by sugarexpletive on 2008-03-12 18:16:45 as read
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
    by C Steger
    posted to boosting by sugarexpletive on 2008-02-21 15:20:56 as read along with 1 person PeterRabbit
  • Boosting for high-dimensional linear models
    (30 Jun 2006)
    by Peter Bühlmann
  • 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 ***
  • Bootstrap - Inspired Techniques in Computation Intelligence
    Signal Processing Magazine, IEEE, Vol. 24, No. 4. (2007), pp. 59-72.
    by R Polikar
  • Random subspace method for multivariate feature selection
    Pattern Recognition Letters, Vol. 27, No. 10. (15 July 2006), pp. 1067-1076.
    by Carmen Lai, Marcel J Reinders, Lodewyk Wessels
  • Experiments with a New Boosting Algorithm
    (1996), pp. 148-156.
    by Yoav Freund, Robert E Schapire
  • A boosting approach to content-based 3D model retrieval
    (2007), pp. 227-234.
    by Hamid Laga, Masayuki Nakajima
  • Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification
    IEEE Trans. Pattern Anal. Mach. Intell., Vol. 24, No. 9. (September 2002), pp. 1184-1199.
    by Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller
    posted to boosting kernel-machines occ-applications occ-support-vector by sdvillal on 2007-03-09 16:52:45 as **
  • A practical method for the software fault-prediction
    Information Reuse and Integration, 2007. IRI 2007. IEEE International Conference on (2007), pp. 659-666.
    by Zhan Li, M Reformat
    posted to imbalanced boosting by sdvillal on 2008-06-03 06:42:12 as **
  • A boosting approach for motif modeling using ChIP-chip data
    Bioinformatics, Vol. 21, No. 11. (1 June 2005), pp. 2636-2643.
    by Pengyu Hong, Shirley S Liu, Qing Zhou, Xin Lu, Jun S Liu, Wing H Wong
    posted to bioinformatics boosting ensembles by sdvillal on 2007-03-10 20:36:18 as **
  • Looking for lumps: boosting and bagging for density estimation
    pp. 379-392.
    posted to boosting ensembles occ-applications occ-others by sdvillal on 2007-06-16 16:38:41 as **
  • Toward Robust Distance Metric Analysis for Similarity Estimation
    (2006), pp. 316-322.
    by Jie Yu, Qi Tian, Jaume Amores, Nicu Sebe
  • Discussion of the paper arcing classifiers by leo breiman
    (1998)
    posted to boosting ensembles error-estimation ml-foundations ml-philosophy by sdvillal on 2007-03-31 22:22:59 as **
  • Random Forests
    Machine Learning, Vol. V45, No. 1. (1 October 2001), pp. 5-32.
    by Leo Breiman
  • A theory of the learnable
    Commun. ACM, Vol. 27, No. 11. (November 1984), pp. 1134-1142.
    by LG Valiant
  • Evidence Contrary to the Statistical View of Boosting
    Journal of Machine Learning Research, Vol. 9 (February 2007), pp. 131-156.
    by David Mease, Abraham Wyner
  • Rapid object detection using a boosted cascade of simple features
    Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, Vol. 1 (2001), pp. I-511-I-518 vol.1.
    by P Viola, M Jones
  • Reducing multiclass to binary: a unifying approach for margin classifiers
    J. Mach. Learn. Res., Vol. 1 (2001), pp. 113-141.
    by Erin L Allwein, Robert E Schapire, Yoram Singer
    posted to boosting ensembles kernel-machines multiclass by sdvillal on 2007-03-31 19:47:59 as **
  • Multiclass Boosting for Weak Classifiers
    J. Mach. Learn. Res., Vol. 6 (2005), pp. 189-210.
    by G&\#252;nther Eibl, Karl-Peter Pfeiffer
    posted to boosting by sdvillal on 2006-08-25 11:57:33 as **
  • notes Robust Boosting for Learning from Few Examples
    (2005), pp. 359-364.
    by Lior Wolf, Ian Martin
    posted to boosting by sdvillal on 2006-08-25 11:54:17 as read
  • Using output codes to boost multiclass learning problems
    (1997), pp. 313-321.
    by Robert E Schapire
  • Feature Construction by Boosting
    (2003)
    by Juan J Rodríguez, Santiago D Villalba, Carlos J Alonso
    posted to boosting dimension-reduction ensembles by sdvillal on 2006-09-24 19:33:06 as **
  • A decision-theoretic generalization of on-line learning and an application to boosting
    (1995), pp. 23-37.
    by Yoav Freund, Robert E Schapire
  • An efficient boosting algorithm for combining preferences
    (1999)
    by R Iyer
  • 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 **
  • Fast and Light Boosting for Adaptive Mining of Data Streams
    by Fang Chu, Carlo Zaniolo
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