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jdu library [51 articles]

最近 jdu さんのライブラリ .
  • PAC generalization bounds for co-training
    (2002), pp. 375-382.
    edited by TG Dietterich, S Becker, Z Ghahramani
    posted to co-training by jdu on 2008-07-06 03:23:17 as ** along with 3 people davidr andi_urra mukundn
  • Combining labeled and unlabeled data with co-training
    (1998), pp. 92-100.
    by A Blum, T Mitchell
  • Analyzing co-training style algorithms
    Machine Learning: ECML 2007 (2007), pp. 454-465.
    by W Wang, ZH Zhou
    posted to co-training by jdu on 2008-07-06 02:32:59 as **
  • Semisupervised Regression with Cotraining-Style Algorithms
    Knowledge and Data Engineering, IEEE Transactions on, Vol. 19, No. 11. (2007), pp. 1479-1493.
    by Zhi-Hua Zhou, Ming Li
    posted to co-training regression semi-supervised by jdu on 2008-07-06 02:27:48 as **
  • Selective Sampling for Nearest Neighbor Classifiers
    Machine Learning, Vol. 54, No. 2. (February 2004), pp. 125-152.
    posted to active sampling by jdu on 2008-03-01 02:38:03 as **
  • 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
  • A probability analysis on the value of unlabeled data for classification problems
    (2000), pp. 1191-1198.
    by Tong Zhang, Frank J Oles
    posted to active probability unlabeled by jdu on 2008-02-24 05:21:23 as **
  • Random Forests
    Machine Learning, Vol. V45, No. 1. (1 October 2001), pp. 5-32.
    by Leo Breiman
  • Machine Learning
    (01 March 1997)
    by Tom M Mitchell
  • C4.5: programs for machine learning
    (1993)
    by Ross J Quinlan
  • Data Mining: Practical Machine Learning Tools and Techniques
    (08 June 2005)
    by Ian H Witten, Eibe Frank
  • Active Sampling for Class Probability Estimation and Ranking
    Machine Learning, Vol. 54, No. 2. (February 2004), pp. 153-178.
  • Learning cost-sensitive active classifiers
    Artif. Intell., Vol. 139, No. 2. (August 2002), pp. 137-174.
    by Russell Greiner, Adam J Grove, Dan Roth
    posted to active cost sensitive by jdu on 2008-02-22 17:51:37 as **
  • Learning and Classifying Under Hard Budgets
    Machine Learning: ECML 2005 (2005), pp. 170-181.
    by Aloak Kapoor, Russell Greiner
    posted to active by jdu on 2008-02-22 17:46:41 as **
  • Employing EM and Pool-Based Active Learning for Text Classification
    (1998), pp. 350-358.
    by Andrew Mccallum, Kamal Nigam
    posted to active classification em pool-based text by jdu on 2008-02-22 16:43:59 as ** along with 1 person vlachmore
  • Query by committee
    (1992), pp. 287-294.
    by HS Seung, M Opper, H Sompolinsky
    posted to active committee query by jdu on 2008-02-22 16:41:50 as ** along with 1 person vlachmore
  • Selective Sampling Using the Query by Committee Algorithm
    Machine Learning, Vol. 28, No. 2-3. (1997), pp. 133-168.
    by Yoav Freund, Sebastian H Seung, Eli Shamir, Naftali Tishby
    posted to active committee query sampling by jdu on 2008-02-22 16:39:33 as ** along with 1 person Mohan-S
  • Active Cost-Sensitive Learning
    (2005)
    by Dragos D Margineantu
    posted to active cost sensitive by jdu on 2008-02-22 16:34:53 as **
  • Toward Optimal Active Learning through Sampling Estimation of Error Reduction
    (2001), pp. 441-448.
    by Nicholas Roy, Andrew Mccallum
    posted to active by jdu on 2008-02-22 16:19:25 as ** along with 1 person Mohan-S
  • Support vector machine active learning with applications to text classification
    Journal of Machine Learning Research, Vol. 2 (2002), pp. 45-66.
    by Simon Tong, Daphne Koller
    posted to active by jdu on 2008-02-22 16:10:33 as read along with 4 people anon_pl kgajos sachina vlachmore
  • Queries and Concept Learning
    Machine Learning, Vol. 2, No. 4. (April 1988), pp. 319-342.
    by Dana Angluin
    posted to active query by jdu on 2008-02-21 03:16:52 as ** along with 1 person Mohan-S
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