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• Strong Learner to Super Strong Learner - Cyrus 11:36:36 3/23/104 (0)
• AdaBoost Learning - with or without replacement of weak learners? - HENG CHER KENG 15:55:38 3/16/104 (0)
• Local noise-sensitivity of adaboost - Sakda Chaiworawitkul 04:27:29 3/16/104 (0)
• training error of Boosting - Junhui 13:53:45 2/25/104 (0)
• Brett Klenk Boosting - Brett Klenk 01:36:46 2/24/104 (3)
  • help: boosting simulation - shali 14:50:02 1/26/104 (2)
    • Re: help: boosting simulation - azza 17:47:31 2/18/104 (0)
  • Performance estimation of boosted ensemble - David Redpath 02:19:13 1/17/104 (2)
    • Re: Performance estimation of boosted ensemble - Nyoman 17:46:52 2/26/104 (1)
  • Z in boosting algorithm - kamal 20:01:35 1/12/104 (0)
  • boosted 'dataset' - ping 12:33:08 1/12/104 (0)
  • PAC..... Accuracy Parameter and Confidence - James 01:26:15 1/09/104 (0)
  • How to boost neural network? - skyhawk 10:25:10 12/28/103 (3)
    • Re: How to boost neural network? - Nyoman 17:47:46 2/26/104 (0)
    • Re: How to boost neural network? - azza 17:49:09 2/18/104 (0)
  • weights in Adaboost - jia 13:56:53 12/09/103 (1)
    • Re: weights in Adaboost - Ketut 17:48:58 2/26/104 (0)
  • AdaBoost-R - Francisca Acuña 01:09:28 12/03/103 (1)
    • Re: AdaBoost-R - Nguyen Hien 15:49:30 3/18/104 (0)
  • regression problems - By Sun 15:56:52 11/28/103 (0)
  • Adaboost.M2 and probabilistic Weak Classifiers - Romain FOYARD 19:48:50 11/27/103 (1)
    • Re: Adaboost.M2 and probabilistic Weak Classifiers - chenwei 16:04:50 12/28/103 (0)
  • adaboosting matlab tool box - wang 12:41:47 11/20/103 (2)
    • Re: adaboosting matlab tool box - skyhawk 22:12:47 12/22/103 (1)
  • How to implement boosting on unbalanced data with unbalanced risk? - SUN 06:44:34 11/19/103 (0)
  • Boosting the runtime of SVM algorithm - Evgeniy Braginskiy 18:41:12 9/20/103 (2)
    • Re: Boosting the runtime of SVM algorithm - skyhawk 10:22:36 1/18/104 (1)
  • How can I implement Boosting in SVM, boosting improve SVM classification ? - Norbaf78 19:15:54 9/19/103 (71)
  • Re: How can I implement Boosting in SVM, boosting improve SVM classification ? - Bali 15:36:51 1/23/104 (1)
    • Re: How can I implement Boosting in SVM, boosting improve SVM classification ? - Juliana 17:41:10 2/20/104 (0)
  • Re: How can I implement Boosting in SVM, boosting improve SVM classification ? - Lionel 18:24:14 12/04/103 (0)
  • Re: How can I implement Boosting in SVM, boosting improve SVM classification ? - LZ 15:50:27 10/08/103 (0)
• SVM + Bagging - Syed 13:24:00 9/04/103 (40)
• Adaboost on MRI data that has been corrected for inhomogeneity - Anant Madabhushi 05:48:41 7/11/103 (1)
  • Re: Adaboost on MRI data that has been corrected for inhomogeneity - Jude 17:49:03 11/26/103 (0)
• boosting a multi-class SVM - mahesh pal 21:00:26 6/25/103 (34)
  • About the adaboost algorithms in regression!!! - tonny fang 23:25:58 6/24/103 (3)
    • Re: About the adaboost algorithms in regression!!! - Mitchell 20:04:03 11/26/103 (1)
      • Re: About the adaboost algorithms in regression!!! - Cialis 07:04:12 3/09/104 (0)
    • Re: About the adaboost algorithms in regression!!! - Gunnar Rätsch 07:55:52 6/27/103 (0)
  • New Book on Learning Theory - Johan Suykens 01:14:06 6/05/103 (0)
  • How to query the Pt in the one-class-leveraging algoritm - Hongwei 19:25:23 3/24/103 (32)
    • Efficient margin maximization with Boosting - Gunnar Raetsch 12:28:39 12/30/102 (0)
    • entry submission bug - Gunnar Raetsch 19:26:19 12/18/102 (1)
    • new review paper available - Gunnar Raetsch 23:46:13 12/17/102 (0)
    • How to sample data according to one distribution? - Openmind 11:03:46 6/20/102 (1)
      • Re: How to sample data according to one distribution? - Seamus 16:52:51 11/21/103 (0)
    • distribution used in adaboost - Bart Hamers 18:11:54 6/07/102 (0)
    • Is there an introduction to C45 availabe on line? - chen longbin 14:30:58 6/07/102 (0)
    • stop criterium - Bart Hamers 18:31:02 6/06/102 (1)
      • Re: stop criterium - P. P. 03:10:45 6/28/103 (0)
    • Added latest COLT papers - Gunnar Raetsch 22:10:05 5/21/102 (0)
    • adaboost, knn - hms 23:20:33 5/14/102 (47)
      • Re: adaboost, knn - Gunnar Raetsch 22:11:43 5/21/102
    • About handwrittern number recogniton. - Qiao 22:29:37 5/13/102 (2)
      • Re: About handwrittern number recogniton. - Loyal 18:56:42 11/26/103 (0)
      • Re: About handwrittern number recogniton. - Gunnar Raetsch 22:19:27 5/21/102 (0)
    • about the training error of a weak learner - Jiaqi Wang 13:57:14 4/18/102 (1)
      • Re: about the training error of a weak learner - chen longbin 14:25:13 6/07/102 (0)
    • boosting for unbalanced data - Alexandre Pitti 23:23:01 4/12/102 (1)
      • Re: boosting for unbalanced data - Gunnar Raetsch 22:25:29 5/21/102 (0)
    • Which is better (SVM or Boosting)? - Jiaqi 13:56:54 4/12/102 (1)
      • Re: Which is better (SVM or Boosting)? - chen longbin 14:28:55 6/07/102 (0)
    • AdaCost - Stijn Van de Vonder 23:18:14 2/28/102 (3)
      • - Cialis 05:08:12 1/16/104 (0)
      • Re: AdaCost - t.s. kalaivanan 20:32:35 7/17/103 (1)
        • Re: AdaCost - Elroy 17:18:39 11/27/103 (0)
    • PhD thesis on Boosting available - Gunnar Raetsch 22:28:29 2/04/102 (3)
      • Re: PhD thesis on Boosting available - Alex 17:18:57 5/29/103 (2)
        • Re: PhD thesis on Boosting available - Kamal 21:52:05 1/19/104 (0)
        • Re: PhD thesis on Boosting available - Freeman 17:46:22 12/02/103 (0)
    • Boosting Book - ALMASHOUQ 21:58:18 1/08/102 (4)
      • Re: Boosting Book - skyhawk 22:25:08 12/22/103 (0)
      • Re: Boosting Book - Bryson 16:17:10 12/08/103 (0)
      • Boosting Book... - Kassim 04:34:14 5/03/102 (1)
        • Re: Boosting Book... - Zion 16:14:31 12/08/103 (0)
    • How to evaluate the performance of the final classifier ? - long 19:30:24 12/12/101 (2)
      • Re: How to evaluate the performance of the final classifier ? - Newman 15:42:26 11/14/103 (1)
        • Re: How to evaluate the performance of the final classifier ? - Audie 18:59:30 12/02/103 (0)
    • AdaBoost and C4.5 - Bobby Dazzler 23:12:07 12/06/101 (82)
      • Re: AdaBoost and C4.5 - Jalon 19:58:44 11/26/103 (1)
      • Re: AdaBoost and C4.5 - Kole 19:56:07 11/26/103 (0)
      • Re: AdaBoost and C4.5 - maoli 16:44:04 6/28/102 (9)
        • Re: AdaBoost and C4.5 - Otto 17:19:05 12/05/103 (0)
        • Re: AdaBoost and C4.5 - Gunnar 16:54:26 12/02/103 (0)
        • Re: AdaBoost and C4.5 - keivan 18:42:42 8/03/103 (0)
      • Re: AdaBoost and C4.5 - hj_peng 22:15:36 1/06/102 (0)
      • Re: AdaBoost and C4.5 - Gunnar Raetsch 17:48:35 12/10/101 (0)
    • boosting with unlabeled data? - Ernesto Mislej 09:22:10 11/23/101 (92)
      • Re: boosting with unlabeled data? - Ricardo Yepes 08:49:00 7/30/103 (2)
        • Re: boosting with unlabeled data? - Torrance 16:49:28 12/01/103 (0)
      • Re: boosting with unlabeled data? - Gunnar Raetsch 09:30:48 11/23/101 (0)
    • Blackboard problems fixed - Gunnar Raetsch 09:19:04 11/23/101 (0)
    • lost again := \sum_i - Günther Eibl 17:09:53 4/26/101 (59)
      • Re: lost again := \sum_i - Gunnar Raetsch 15:56:55 5/02/101 (2)
        • Re: lost again := \sum_i - Gunnar Raetsch 16:00:26 5/02/101 (1)
          • . - Random X Pic 14:18:54 1/31/104 (0)
    • "lost" inner product generalization - Günther Eibl 17:00:53 4/26/101 (0)
    • Inner product for the multiclass case - Günther Eibl 16:53:31 4/26/101 (0)
    • error rate of strong learner always 0.0? - Pedro Moreno 09:41:30 3/27/101 (5)
      • Re: error rate of strong learner always 0.0? - Gunnar Raetsch 11:07:32 3/28/101 (3)
        • Re: error rate of strong learner always 0.0? - Jiaqi Wang 13:54:08 4/18/102 (2)
          • Re: error rate of strong learner always 0.0? - Cleon 16:15:46 12/01/103 (0)
          • Re: error rate of strong learner always 0.0? - Jaylin 18:35:21 11/13/103 (0)
    • e-paper by Schapire - Serge A. Terekhoff 20:47:04 3/24/101 (7)
      • Re: e-paper by Schapire - Donell 17:23:05 12/18/103 (0)
      • Re: e-paper by Schapire - xiuli Ma 11:32:08 12/11/103 (0)
      • Re: e-paper by Schapire - Dingsheng Luo 12:35:49 11/08/101 (2)
        • Re: Testmessage - Gunnar Raetsch 09:14:15 11/23/101 (0)
        • Re: Testmessage - Gunnar Raetsch 09:12:00 11/23/101 (1)
          • Re: Testmessage - Gunnar Raetsch 09:14:15 11/23/101 (0)
      • Re: e-paper by Schapire - Gunnar Raetsch 12:37:59 3/28/101 (2)
        • Re: e-paper by Schapire - Gunnar Raetsch 18:00:07 5/09/101 (1)
          • Thanks - Serge A. Terekhoff 19:28:55 5/11/101 (0)
    • constant - Jorge Muruzabal 01:03:58 3/17/101 (1)
      • Re: constant - Gunnar Raetsch 11:15:55 3/28/101 (0)
    • Test Message - Gunnar Raetsch 00:52:46 11/21/100 (0)
    • Welcome - Gunnar Rätsch 10:44:37 11/20/00 (1)
      • Re: Welcome - Ayhan Demiriz 02:24:10 12/14/100 (0)

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    Gunnar Rätsch and Takashi Onoda