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(28)   

• online slots
  Brian Godder (2007)
  to online slots online, slot machine, slots, play machines, by sloterix08 on Aug 20, 2008, 8:13 AM
  BibTeX 
• Hive: Development of a Language Among Artificial Life Forms
  Daniel Malmer Artificial Life at Stanford 1994, Stanford Bookstore, Stanford, California, 94305-3079 USA, June1994.
  to genetic Machine, Agents, Finite algorithms, Communication State by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• A robust hybrid between genetic algorithm and support vector machine for extracting an optimal feature gene subset
  Li Li and Wei Jiang and Xia Li and Kathy L. Moser and Zheng Guo and Lei Du and Qiuju Wang and Eric J. Topol and Qing Wang and Shaoqi Rao Genomics85(1):16--23January2005.
  to vector gene selection, Microarray DNA programming, Feature machine, Support algorithms, genetic by brazovayeye on Jun 19, 2008, 5:35 PM
  BibTeX 
• Automated re-invention of six patented optical lens systems using genetic programming
  John R. Koza and Sameer H. Al-Sakran and Lee W. Jones GECCO 2005: Proceedings of the 2005 conference on Genetic and evolutionary computation, 2, page1953--1960. Washington DC, USA, ACM Press, 25-29 June2005.
  to design, optical results, genetic invention World algorithms, machine, programming, system, Applications, patents Real automated human-competitive lens by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  URL | BibTeX 
• Automated synthesis of a human-competitive solution to the challenge problem of the 2002 international optical design conference by means of genetic programming and a multi-dimensional mutation operation
  Lee W. Jones and Sameer H. Al-Sakran and John R. Koza GECCO 2006: Proceedings of the 8th annual conference on Genetic and evolutionary computation, 1, page823--830. Seattle, Washington, USA, ACM Press, 8-12 July2006.
  to International genetic invention result, operation, design machine, system automated programming, algorithms, optical mutation design, conference, lens human-competitive by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  URL | BibTeX 
• Credit scoring with a data mining approach based on support vector machines
  Cheng-Lung Huang and Mu-Chen Chen and Chieh-Jen Wang Expert Systems with Applications33(4):847--856November2007.
  to genetic mining, tree, Neural vector programming, scoring, Classification networks, Credit Decision Data algorithms, Support machine, by brazovayeye and 1 other person on Jun 19, 2008, 5:35 PM
  BibTeX 
• A probabilistic analysis of the Rocchio algorithm with TFIDF for text categorization
  Thorsten Joachims Proceedings of ICML-97, 14th International Conference on Machine Learning, page143--151. Nashville, US, Morgan Kaufmann Publishers, San Francisco, US, (1997)
  to learning, machine, feedback, rocchio, relevance, text categorization, by pprett and 3 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• A Machine Learning Architecture for Optimizing Web Search Engines
  J. Boyan and D. Freitag and T. Joachims Proceedings of the AAAI Workshop on Internet-Based Information Systems, (1996)
  to machine, feedback, relevance, search, learning, web reinforcement, by pprett on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• A Comparison of Classifiers and Document Representations for the Routing Problem
  Hinrich Schütze and David A. Hull and Jan O. Pedersen Research and Development in Information Retrieval, page229--237. (1995)
  to connectionist, routing relevance, ann, learning, machine, feedback, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Beyond PageRank: machine learning for static ranking
  Matthew Richardson and Amit Prakash and Eric Brill WWW '06: Proceedings of the 15th international conference on World Wide Web, page707--715. New York, NY, USA, ACM Press, (2006)
  to ranking, msr, pagerank, learning, ranknet machine, by pprett and 4 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Active exploration for learning rankings from clickthrough data
  Filip Radlinski and Thorsten Joachims KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining, page570--579. New York, NY, USA, ACM Press, (2007)
  to feedback, learning, clickthrough, relevance machine, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Learning to rank using gradient descent
  Chris Burges and Tal Shaked and Erin Renshaw and Ari Lazier and Matt Deeds and Nicole Hamilton and Greg Hullender ICML '05: Proceedings of the 22nd international conference on Machine learning, page89--96. New York, NY, USA, ACM Press, (2005)
  to neural, machine, networks, msr, learning, ranknet, web search, ranking, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Improving web search ranking by incorporating user behavior information
  Eugene Agichtein and Eric Brill and Susan Dumais SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, page19--26. New York, NY, USA, ACM Press, (2006)
  to re-rank, evaluation, web feedback, relevance, learning, retrieval, machine, msr, user, information, search, behavior, ranknet, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Some Formal Analysis of Rocchio's Similarity-Based Relevance Feedback Algorithm
  Zhixiang Chen and Binhai Zhu Inf. Retr.5(1):61--86January2002.
  to rocchio, theoretical learning, relevance, feedback, supervised, machine, algorithm, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Robustness of adaptive filtering methods in a cross-benchmark evaluation
  Yiming Yang and Shinjae Yoo and Jian Zhang and Bryan Kisiel SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page98--105. New York, NY, USA, ACM Press, (2005)
  to machine, learning, ir, adaptive, filtering, feedback, classification, retrieval relevance, information, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• A regression framework for learning ranking functions using relative relevance judgments
  Zhaohui Zheng and Keke Chen and Gordon Sun and Hongyuan Zha SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, page287--294. New York, NY, USA, ACM Press, (2007)
  to ranking, machine, judgements, feedback, learning, relevance, information, retrieval by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Data Mining: Practical Machine Learning Tools and Techniques
  Ian H. Witten and Eibe Frank Morgan Kaufmann Series in Data Management Systems Morgan Kaufmann, Second edition, June2005.
  to classification, mining, clustering, learning, data, weka machine, by pprett and 6 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Query chains: learning to rank from implicit feedback
  Filip Radlinski and Thorsten Joachims KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, page239--248. New York, NY, USA, ACM Press, (2005)
  to learning2rank, ranking learning, ml, machine, feedback, implicit, query, by pprett and 3 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Automatic web query classification using labeled and unlabeled training data
  Steven M. Beitzel and Eric C. Jensen and Ophir Frieder and David Grossman and David D. Lewis and Abdur Chowdhury and Aleksandr Kolcz SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page581--582. New York, NY, USA, ACM, (2005)
  to mining, log, machine, learning, supervised query, aol, by pprett and 2 other people on Jun 17, 2008, 4:01 PM
  URL | BibTeX 
• Efficient text categorization
  Marko Grobelnik and Dunja Mladeni'c (1998)
  to yahoo web, categorization, machine, n-gram, text, classification, learning, by pprett and 1 other person on Jun 17, 2008, 4:01 PM
  URL | BibTeX