Registrati | Log in | FAQ      [?] 

Tag boosting [164 articles]

Articoli recentemente classificati sotto il 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
    (2004)
    posted to boosting machine_learning by zeppe on 2008-02-18 11:43:25 as ** along with 2 people gyuli olyweb
  • 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
  • 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
  • Fast rotation invariant multi-view face detection based on real Adaboost
    Automatic Face and Gesture Recognition, 2004. Proceedings. Sixth IEEE International Conference on (2004), pp. 79-84.
    by Bo Wu, Haizhou Ai, Chang Huang, Shihong Lao
    posted to boosting object_detection by zeppe on 2008-08-23 11:19:00 as ** along with 1 person thorgal
  • FloatBoost learning and statistical face detection
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 26, No. 9. (2004), pp. 1112-1123.
    by SZ Li, Zhenqiu Zhang
    posted to boosting object_detection by zeppe on 2008-08-23 11:15:05 as ** along with 2 people kazuyuki thorgal
  • 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
  • notes A short introduction to boosting
    (1999)
  • 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
  • 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 2 people XIANG bbabenko
  • 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
  • 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 *****
  • 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 *****
  • Bias-Variance Control via Hard Points Shaving
    posted to boosting by Vezhnick on 2007-01-21 20:58:58 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 ****
  • 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
  • TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-Class Object Recognition and Segmentation
    by Context M For
  • 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 *****
  • 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 ****
  • An introduction to boosting and leveraging
    (2003), pp. 118-183.
    by Ron Meir, Gunnar Rätsch
  • 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
  • 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
  • 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 ***
  • 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
  • Bootstrap - Inspired Techniques in Computation Intelligence
    Signal Processing Magazine, IEEE, Vol. 24, No. 4. (2007), pp. 59-72.
    by R Polikar
  • 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
  • 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 **
  • 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 **
  • The Synergy Between PAV and AdaBoost
    Machine Learning, Vol. 61, No. 1-3. (November 2005), pp. 71-103.
    by W Wilbur, Lana Yeganova, Won Kim
    posted to boosting calibration ensembles by sdvillal on 2008-08-17 07:58:45 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
  • Random Forests
    Machine Learning, Vol. V45, No. 1. (1 October 2001), pp. 5-32.
    by Leo Breiman
  • Using output codes to boost multiclass learning problems
    (1997), pp. 313-321.
    by Robert E Schapire
  • 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
  • A theory of the learnable
    Commun. ACM, Vol. 27, No. 11. (November 1984), pp. 1134-1142.
    by LG Valiant
  • 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
  • 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 **
  • 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 **
  • 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 **
  • 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 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 boosting imbalanced by sdvillal on 2008-06-03 06:42:12 as **
  • An efficient boosting algorithm for combining preferences
    (1999)
    by R Iyer
  • A decision-theoretic generalization of on-line learning and an application to boosting
    (1995), pp. 23-37.
    by Yoav Freund, Robert E Schapire
  • Puoi citare questa pagina come: http://www.citeulike.org/tag/boosting

    Result page: 1 2 3 4 Next RIS BibTeX
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.