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gagliol's meta-learning [20 articles]

当前文献位于 gagliol's 文献库 标签分类为 meta-learning. You can also see everyone's meta-learning.
  • Meta-Learning: Concepts and Techniques
    (2005)
    by R Vilalta, Giraud C Carrier, P Brazdil
    edited by Oded Maimon, Lior Rokach
    posted to gagliolo-phd meta-learning printed by gagliol on 2008-03-12 16:24:58 as **
  • Estimating the Predictive Accuracy of a Classifier
    Machine Learning: EMCL 2001: 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings (2001), 25.
    by Hilan Bensusan, Alexandros Kalousis
    posted to classification meta-learning by gagliol on 2007-12-14 22:25:11 as **
  • Empirical Approach to the Complexity of Hard Problems
    (October 2005)
    by Eugene Nudelman
  • Meta-Analysis: From Data Characterisation for Meta-Learning to Meta-Regression
    (2000)
    by Christian Köpf, Charles Taylor, Jörg Keller
    posted to meta-learning by gagliol on 2007-12-14 17:11:12 as **
  • Combining Predictors: Comparison of Five Meta Machine Learning Methods
    Information Sciences, Vol. 119, No. 1-2. (1999), pp. 91-105.
    by Jakob V Hansen
  • +CARPS: Configuration of Metaheuristics based on JADE Agents
    (2004), pp. 115-126.
    by Dagmar M Díaz
    edited by Christian Blum, Andrea Roli, Michael Sampels, Christian Blum, Andrea Roli, Michael Sampels
    posted to meta-learning metaheuristics by gagliol on 2007-12-14 14:45:41 as **
  • An Evaluation of Grading Classifiers
    Vol. 2189 (2001), pp. 115-124.
    by Alexander K Seewald, Johannes Fürnkranz
    edited by Frank Hoffmann, David J Hand, Niall M Adams, Douglas H Fisher, Gabriela G aes, Frank Hoffmann, David J Hand, Niall M Adams, Douglas H Fisher, Gabriela G aes
    posted to grading meta-learning by gagliol on 2007-12-14 14:38:30 as **
  • notes Grading Classifiers
    No. OEFAI-TR-2001-01. (2001)
    by Alexander K Seewald, Johannes Fürnkranz
    posted to grading meta-learning by gagliol on 2007-12-14 14:36:26 as **
  • Dynamically adapting kernels in support vector machines
    Vol. 11 (1999), pp. 204-210.
    by N Cristianini, C Campbell, Shawe J Taylor
    edited by SA Solla, TK Leen, KR Müller
  • Efficient Algorithms for Minimizing Cross Validation Error
    (1994), pp. 190-198.
    by Andrew W Moore, Mary S Lee
  • Modeling GA Performance for Control Parameter Optimization
    (October-December 2000), pp. 235-242.
    by Stephen F Smith, Vincent A Cicirello
    edited by Darrell Whitley, David Goldberg, Erick C Paz, Lee Spector, Ian Parmee, Hans G Beyer
  • Applying Machine Learning to Low Knowledge Control of Optimization Algorithms
    Computational Intelligence, Vol. 21, No. 4. (2005), pp. 373-387.
    by T Carchrae, JC Beck
    edited by Seth
  • The Problem of Tuning Metaheuristics as Seen from a Machine Learning Perspective
    (2004)
    posted to metaheuristics racing meta-learning by gagliol on 2006-07-17 15:45:59 as ***
  • Meta-learning by landmarking various learning algorithms
    (June 2000), pp. 743-750.
    by Bernhard Pfahringer, Hilan Bensusan, Christophe G Carrier
  • A Neural Network Model for Inter-Problem Adaptive Online Time Allocation
    (2005), pp. 7-12.
    by Matteo Gagliolo, Jürgen Schmidhuber
    edited by W\lodzis\law Duch, Others
  • A perspective view and survey of meta-learning
    Artif. Intell. Rev., Vol. 18, No. 2. (2002), pp. 77-95.
    by Ricardo Vilalta, Youssef Drissi
    posted to meta-learning by gagliol on 2006-07-17 11:24:54 as **
  • Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions
    Vol. 2470 (2002), pp. 556-572.
    by Kevin L Brown, Eugene Nudelman, Yoav Shoham
    edited by Pascal Van Hentenryck
  • A Portfolio Approach to Algorithm Selection
    (2003), pp. 1542-1543.
    by Eugene Nudelman, Galen Andrew, Jim Mcfadden, Kevin L Brown, Yoav Shoham
    edited by Georg Gottlob, Toby Walsh
    posted to algorithm-selection meta-learning performance-modeling by gagliol on 2006-07-17 11:24:54 as read
  • Introduction to the Special Issue on Meta-Learning
    Machine Learning, Vol. 54, No. 3. (2004), pp. 187-193.
    by Christophe G Carrier, Ricardo Vilalta, Pavel Brazdil
    posted to gagliolo-phd meta-learning by gagliol on 2006-07-17 11:24:54 as **
  • Ranking Learning Algorithms: Using IBL and Meta Learning on Accuracy and Time Results
    Machine Learning, Vol. 50, No. 3. (2003), pp. 251-277.
    by Pavel B Brazdil, Carlos Soares, Joaquim P da Costa
    posted to gagliolo-phd ranking meta-learning by gagliol on 2006-07-17 11:24:53 as **
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