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yaroslavvb's pw [44 articles]

Recent papers added to yaroslavvb's library classified by the tag pw. You can also see everyone's pw.
  • Induction of ripple-down rules applied to modeling large databases
    Journal of Intelligent Information Systems, Vol. 5, No. 3. (1 November 1995), pp. 211-228.
    by BR Gaines, P Compton
    posted to pw weka by yaroslavvb on 2008-08-27 08:26:14 as **
  • Generating accurate rule sets without global optimization
    (1998), pp. 144-151.
    by Eibe Frank, Ian H Witten
    posted to pw weka by yaroslavvb on 2008-08-27 08:25:21 as **
  • Very Simple Classification Rules Perform Well on Most Commonly Used Datasets
    Mach. Learn., Vol. 11, No. 1. (April 1993), pp. 63-90.
    by Robert C Holte
    posted to pw weka by yaroslavvb on 2008-08-27 08:24:19 as ** along with 2 people Jaldert sdvillal
  • Fast effective rule induction
    (1995), pp. 115-123.
    by William W Cohen
    posted to pw weka by yaroslavvb on 2008-08-27 08:21:35 as **
  • The Power of Decision Tables
    (1995), pp. 174-189.
    by Ron Kohavi
    posted to pw weka by yaroslavvb on 2008-08-27 08:20:48 as **
  • Classification and Regression Trees
    (01 January 1984)
    by Leo Breiman, Jerome Friedman, Charles J Stone, RA Olshen
    posted to pw weka by yaroslavvb on 2008-08-27 08:19:37 as ** along with 5 people misovalko mthomure rabio rogerblake nmdang
  • Random Forests
    Machine Learning, Vol. V45, No. 1. (1 October 2001), pp. 5-32.
    by Leo Breiman
  • Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
    Second International Conference on Knoledge Discovery and Data Mining (1996)
    by Ron Kohavi
    posted to pw weka by yaroslavvb on 2008-08-27 08:16:05 as **
  • Decision tree grafting
    (1997), pp. 846-851.
    by Geoffrey I Webb
    posted to pw weka by yaroslavvb on 2008-08-27 08:13:34 as **
  • C4.5: programs for machine learning
    (1993)
    by Ross R Quinlan
  • The Alternating Decision Tree Learning Algorithm
    (1999), pp. 124-133.
    by Yoav Freund, Llew Mason
    posted to pw weka by yaroslavvb on 2008-08-27 08:12:30 as ** along with 1 person jaspervoskuilen
  • Classification by Voting Feature Intervals
    Machine Learning: ECML-97 (1997), pp. 85-92.
    by Gülşen Demiröz, H Güvenir
    posted to pw weka by yaroslavvb on 2008-08-27 08:08:17 as ** along with 1 person gangli
  • Stacked generalization
    Neural Netw., Vol. 5, No. 2. (1992), pp. 241-259.
    by David H Wolpert
    posted to pw weka by yaroslavvb on 2008-08-27 08:03:01 as **
  • The random subspace method for constructing decision forests
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 20, No. 8. (1998), pp. 832-844.
    by Tin K Ho
    posted to pw weka by yaroslavvb on 2008-08-27 08:01:49 as ** along with 3 people and 1 group jxl drivard sona EC
  • Racing committees for large datasets
    (2002), pp. 153-164.
    by Eibe Frank, Richard Kirkby, Mark Hall
    posted to pw weka by yaroslavvb on 2008-08-27 08:00:45 as **
  • A Simple Approach to Ordinal Classification
    (2001), pp. 145-156.
    by Eibe Frank, Mark Hall
    posted to pw weka by yaroslavvb on 2008-08-27 07:59:36 as **
  • MultiBoosting: A Technique for Combining Boosting and Wagging
    Machine Learning, Vol. 40, No. 2. (2000), pp. 159-196.
    by Geoffrey I Webb
    posted to pw weka by yaroslavvb on 2008-08-27 07:58:01 as **
  • Additive logistic regression: a statistical view of boosting
    Annals of Statistics, Vol. 28 (2000)
    by Jerome Friedman, Trevor Hastie, Robert Tibshirani
    posted to pw weka by yaroslavvb on 2008-08-27 07:57:16 as **
  • Ensemble selection from libraries of models
    (2004), pp. 137-144.
    by Rich Caruana, Alexandru Niculescu-Mizil, Geoff Crew, Alex Ksikes
    posted to pw weka by yaroslavvb on 2008-08-27 07:56:02 as **
  • Ensembles of Balanced Nested Dichotomies for Multi-class Problems
    Knowledge Discovery in Databases: PKDD 2005 (2005), pp. 84-95.
    by Lin Dong, Eibe Frank, Stefan Kramer
    posted to pw weka by yaroslavvb on 2008-08-27 07:54:33 as ** along with 1 person jjrodriguez
  • Constructing diverse classifier ensembles using artificial training examples
    (2003), pp. 505-510.
    by Prem Melville, Raymond J Mooney
    posted to pw weka by yaroslavvb on 2008-08-27 07:53:31 as **
  • Stacking Bagged and Dagged Models
    (1997), pp. 367-375.
    by Kai M Ting, Ian H Witten
    posted to pw weka by yaroslavvb on 2008-08-27 07:52:44 as **
  • Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations
    (11 October 1999)
    by Ian H Witten, Eibe Frank
  • Locally Weighted Learning
    Artificial Intelligence Review (February 1997), pp. 11-73.
    by CG Atkeson, AW Moore, S Schaal
    posted to pw weka by yaroslavvb on 2008-08-27 07:48:06 as **
  • K*: An instance-based learner using an entropic distance measure
    (1995), pp. 108-114.
    by John G Cleary, Leonard E Trigg
    posted to pw weka by yaroslavvb on 2008-08-27 07:46:05 as **
  • Large margin classification using the perceptron algorithm
    Vol. 37 (1999), pp. 277-296.
    by Yoav Freund, Robert E Schapire
    posted to pw weka by yaroslavvb on 2008-08-27 07:44:48 as **
  • Logistic Model Trees
    Machine Learning (May 2005), pp. 161-205.
    by Niels Landwehr, Mark Hall, Eibe Frank
    posted to pw weka by yaroslavvb on 2008-08-27 07:38:25 as **
  • LIBSVM: a library for support vector machines
    (2001)
    by Chih-Chung Chang, Chih-Jen Lin
    posted to pw weka by yaroslavvb on 2008-08-27 07:28:39 as **
  • Tackling the Poor Assumptions of Naive Bayes Text Classifiers
    (2003), pp. 616-623.
    by Jason DM Rennie, David Karger
    posted to pw weka by yaroslavvb on 2008-08-27 07:24:43 as **
  • A Bayesian method for constructing Bayesian belief networks from databases
    (1991), pp. 86-94.
    by Gregory F Cooper, Edward Herskovits
    posted to pw weka by yaroslavvb on 2008-08-27 07:22:53 as **
  • notes Using model trees for classification
    Vol. 32 (1998), pp. 63-76.
    by Eibe Frank, Yong Wang, Geoffrey Holmes, Ian H Witten, H Witten
    posted to pw by yaroslavvb on 2008-08-21 20:13:32 as **
  • Tackling the Poor Assumptions of Naive Bayes Text Classifiers
    (2003), pp. 616-623.
    by Jason DM Rennie, Jaime Teevan, David R Karger
    posted to pw by yaroslavvb on 2008-08-21 19:44:25 as **
  • notes Foundations of Statistical Natural Language Processing
    (18 June 1999)
    by Christopher D Manning, Hinrich Schtze
  • An Evaluation of Statistical Approaches to Text Categorization
    Information Retrieval, Vol. 1, No. 1/2. (1999), pp. 69-90.
    by Yiming Yang
    posted to pw by yaroslavvb on 2008-04-25 19:37:03 as ** along with 5 people egh Phanix amirsaffari ehohman bundschu
  • notes A comparative study on feature selection in text categorization
    (1997), pp. 412-420.
    by Yiming Yang, Jan O Pedersen
    edited by Douglas H Fisher
  • notes Machine learning in automated text categorization
    ACM Comput. Surv., Vol. 34, No. 1. (March 2002), pp. 1-47.
    by Fabrizio Sebastiani
  • notes The relationship between Precision-Recall and ROC curves
    (2006), pp. 233-240.
    by Jesse Davis, Mark Goadrich
    posted to pw by yaroslavvb on 2008-04-19 01:17:44 as ** along with 3 people imrchen hehrig tvdbulck
  • notes AUC optimization vs. error rate minimization
    (2004)
    by C Cortes, M Mohri
  • notes Learning to Rank by Maximizing AUC with Linear Programming
    Neural Networks, 2006. IJCNN '06. International Joint Conference on (2006), pp. 123-129.
    by K Ataman, WN Street, Yi Zhang
    posted to pw by yaroslavvb on 2008-04-16 22:24:43 as **
  • Collective multi-label classification
    (2005), pp. 195-200.
    by Nadia Ghamrawi, Andrew Mccallum
  • Large-Scale Bayesian Logistic Regression for Text Categorization
    Technometrics, Vol. 49, No. 3. (August 2007), pp. 291-304.
    posted to pw by yaroslavvb on 2008-03-24 17:01:09 as ** along with 1 person pcarbo
  • Trust region Newton methods for large-scale logistic regression
    (2007), pp. 561-568.
    by Chih-Jen Lin, Ruby C Weng, Sathiya S Keerthi
    posted to pw by yaroslavvb on 2008-03-24 17:00:17 as **
  • Semisupervised Learning for a Hybrid Generative/Discriminative Classifier based on the Maximum Entropy Principle
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 30, No. 3. (2008), pp. 424-437.
    by Akinori Fujino, Naonori Ueda, Kazumi Saito
    posted to pw by yaroslavvb on 2008-03-23 23:55:39 as ** along with 2 people jjrodriguez amirsaffari
  • On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
    (2002), pp. 841-848.
    by AY Ng, MI Jordan
    edited by TG Dietterich, S Becker, Z Ghahramani
    posted to generative-discriminative pw by yaroslavvb on 2005-10-26 20:01:06 as **
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