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pprett machine [20 articles]

最近 pprett さんのライブラリに追加された論文の中から タグ machine. You can also see everyone's machine.
  • notes An introduction to variable and feature selection
    J. Mach. Learn. Res., Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, Andre Elisseeff
  • A study using n-gram features for text categorization
    (1998)
    posted to categorization learning machine n-gram text by pprett on 2007-11-21 16:18:49 as read
  • notes A tutorial on learning with bayesian networks
    (# 1995)
  • N-Gram-Based Text Categorization
    (1994), pp. 161-175.
    by William B Cavnar, John M Trenkle
  • On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
    Machine Learning, Vol. 29, No. 2-3. (1997), pp. 103-130.
    by Pedro Domingos, Michael J Pazzani
    posted to learning machine mining nbc text by pprett on 2007-11-17 14:54:31 as ***
  • Machine learning in automated text categorization
    ACM Computing Surveys, Vol. 34, No. 1. (2002), pp. 1-47.
    by Fabrizio Sebastiani
  • Efficient text categorization
    (1998)
    by Marko Grobelnik, Dunja Mladenic
    posted to categorization classification learning machine n-gram text web yahoo by pprett on 2007-11-17 13:42:45 as **
  • Automatic web query classification using labeled and unlabeled training data
    (2005), pp. 581-582.
    by Steven M Beitzel, Eric C Jensen, Ophir Frieder, David Grossman, David D Lewis, Abdur Chowdhury, Aleksandr Kolcz
    posted to aol learning log machine mining query supervised by pprett on 2007-11-02 14:59:17 as read
  • Query chains: learning to rank from implicit feedback
    (2005), pp. 239-248.
    by Filip Radlinski, Thorsten Joachims
  • Data Mining: Practical Machine Learning Tools and Techniques
    (08 June 2005)
    by Ian H Witten, Eibe Frank
  • notes A regression framework for learning ranking functions using relative relevance judgments
    (2007), pp. 287-294.
    by Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha
  • Robustness of adaptive filtering methods in a cross-benchmark evaluation
    (2005), pp. 98-105.
    by Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel
  • Some Formal Analysis of Rocchio's Similarity-Based Relevance Feedback Algorithm
    Inf. Retr., Vol. 5, No. 1. (January 2002), pp. 61-86.
    by Zhixiang Chen, Binhai Zhu
  • Improving web search ranking by incorporating user behavior information
    (2006), pp. 19-26.
    by Eugene Agichtein, Eric Brill, Susan Dumais
  • notes Learning to rank using gradient descent
    (2005), pp. 89-96.
    by Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Greg Hullender
  • notes Active exploration for learning rankings from clickthrough data
    (2007), pp. 570-579.
    by Filip Radlinski, Thorsten Joachims
  • Beyond PageRank: machine learning for static ranking
    (2006), pp. 707-715.
    by Matthew Richardson, Amit Prakash, Eric Brill
    posted to learning machine msr pagerank ranking ranknet by pprett on 2007-09-30 20:35:12 as read along with 1 person ChaTo
  • A Comparison of Classifiers and Document Representations for the Routing Problem
    (1995), pp. 229-237.
    by Hinrich Schütze, David A Hull, Jan O Pedersen
    posted to ann connectionist feedback learning machine relevance routing by pprett on 2007-09-30 19:04:16 as **
  • A Machine Learning Architecture for Optimizing Web Search Engines
    (1996)
    posted to feedback learning machine reinforcement relevance search web by pprett on 2007-09-30 19:03:22 as **
  • A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
    (1997), pp. 143-151.
    by Thorsten Joachims
    edited by Douglas H Fisher
    posted to categorization feedback learning machine relevance rocchio text by pprett on 2007-09-30 19:02:18 as read
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