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gagliol's gagliolo-phd [33 articles]

当前文献位于 gagliol's 文献库 标签分类为 gagliolo-phd. You can also see everyone's gagliolo-phd.
  • Groups of diverse problem solvers can outperform groups of high-ability problem solvers
    Proceedings of the National Academy of Sciences, Vol. 101, No. 46. (16 November 2004), pp. 16385-16389.
    by Lu Hong, Scott E Page
    posted to printed gagliolo-phd algorithm-portfolios by gagliol on 2008-04-24 14:20:23 as **
  • Issues in Runtime Algorithm Selection for Grid Environments
    (2003)
    by Prachi Bora, Calvin Ribbens, Sandeep Prabhakar, Gautam Swaminathan, Malarvizhi Chinnusamy, Ashwin Jeyakumar, Beatriz Diaz-Acosta
    posted to algorithm-selection gagliolo-phd grid-computing printed by gagliol on 2008-04-16 18:47:06 as **
  • Meta-Learning: Concepts and Techniques
    (2005)
    edited by Oded Maimon, Lior Rokach
    posted to gagliolo-phd meta-learning printed by gagliol on 2008-03-12 16:24:58 as **
  • A Randomized Parallel Backtracking Algorithm
    IEEE Trans. Comput., Vol. 37, No. 12. (December 1988), pp. 1665-1676.
  • Optimal Schedules for Parallelizing Anytime Algorithms: The Case of Independent Processes
    (2002)
    by Lev Finkelstein, Shaul Markovitch, Ehud Rivlin
  • Gödel machines: self-referential universal problem solvers making provably optimal self-improvements
    (2006), pp. 119-226.
    edited by B Goertzel, C Pennachin
    posted to gagliolo-phd printed algorithmic-complexity universal-search by gagliol on 2007-12-20 14:02:57 as read
  • Bounded Conditioning: Flexible Inference for Decisions Under Scarce Resources
    (1989), pp. 182-193.
    by Eric J Horvitz, Jacques H Suermondt, Gregory F Cooper
    posted to gagliolo-phd printed anytime-algorithms time-quality-trade-off by gagliol on 2007-12-20 10:24:46 as **
  • Planning
    (2004), pp. 554-560.
    by Michail G Lagoudakis, Sven Koenig
    edited by Claude Ghaoui
    posted to gagliolo-phd planning printed by gagliol on 2007-12-18 17:05:48 as **
  • Automatic evaluation and selection of problem-solving methods: theory and experiments
    J. Exp. Theor. Artif. Intell., Vol. 16, No. 2. (2004), pp. 73-105.
    by Eugene Fink
  • How to Solve It Automatically: Selection Among Problem Solving Methods
    (1998), pp. 128-136.
    by Eugene Fink
  • Markov Decision Processes: Discrete Stochastic Dynamic Programming
    (15 April 1994)
    by Martin L Puterman
  • Learning to select branching rules in the dpll procedure for satisfiability
    Vol. 9 (2001), pp. 344-359.
    posted to gagliolo-phd printed algorithm-selection reinforcement-learning by gagliol on 2007-12-17 15:07:23 as ***
  • Learning dynamic algorithm portfolios
    Annals of Mathematics and Artificial Intelligence, Vol. 47, No. 3-4. (August 2006), pp. 295-328.
    by Matteo Gagliolo, Jürgen Schmidhuber
  • Boosting Verification by Automatic Tuning of Decision Procedures
    (2007)
    by F Hutter, D Babic, HH Hoos, Hu
    posted to gagliolo-phd printed algorithm-selection parameter-tuning by gagliol on 2007-12-14 18:52:11 as **
  • Automatic Algorithm Configuration based on Local Search
    (2007), pp. 1152-1157.
    by F Hutter, HH Hoos, T Stützle
    posted to gagliolo-phd printed algorithm-selection by gagliol on 2007-12-14 18:43:42 as **
  • Understanding Random SAT: Beyond the Clauses-to-Variables Ratio
    Vol. 3258 (2004), pp. 438-452.
    by Eugene Nudelman, Kevin Leyton-Brown, Holger H Hoos, Alex Devkar, Yoav Shoham
    edited by Mark Wallace
    posted to gagliolo-phd printed algorithm-selection by gagliol on 2007-12-14 18:19:07 as **
  • Boosting as a metaphore for algorithm design
    (2003)
    by Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim Mcfadden, Yoav Shoham
    posted to gagliolo-phd printed algorithm-selection by gagliol on 2007-12-14 18:15:12 as **
  • Boosting as a Metaphor for Algorithm Design
    Vol. 2833 (2003), pp. 899-903.
    by Kevin Leyton-Brown, Eugene Nudelman, Galen Andrew, Jim Mcfadden, Yoav Shoham
    edited by Francesca Rossi
    posted to gagliolo-phd printed algorithm-selection by gagliol on 2007-12-14 18:05:09 as **
  • Empirical Approach to the Complexity of Hard Problems
    (October 2005)
    by Eugene Nudelman
  • An Adaptive Algorithm Selection Framework
    (2004), pp. 278-289.
    by Hao Yu, Dongmin Zhang, Lawrence Rauchwerger
    posted to gagliolo-phd printed algorithm-selection by gagliol on 2007-12-14 17:25:08 as **
  • Performance Modeling for Dynamic Algorithm Selection
    Vol. 2660 (2003), pp. 749-758.
    by Michael O Mccracken, Allan Snavely, Allen D Malony
    edited by Peter MA Sloot, David Abramson, Alexander V Bogdanov, Jack Dongarra, Albert Y Zomaya, Yuri E Gorbachev, Peter MA Sloot, David Abramson, Alexander V Bogdanov, Jack Dongarra, Albert Y Zomaya, Yuri E Gorbachev
  • Restart policies with dependence among runs: A dynamic programming approach
    Vol. 2470 (2002)
    by Y Ruan, E Horvitz, H Kautz
    edited by Pascal Van Hentenryck
    posted to bibtex-import-wt dynamic gagliolo-phd printed restart satisfiability by gagliol on 2007-03-23 17:47:01 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
  • Simple Rules for Low-Knowledge Algorithm Selection.
    (2004), pp. 50-64.
    by Christopher J Beck, Eugene C Freuder
    posted to gagliolo-phd printed algorithm-selection by gagliol on 2006-08-11 18:14:26 as **
  • Low Knowledge Algorithm Control
    (2004)
    by Tom Carchrae, Christopher J Beck
    posted to gagliolo-phd low-knowledge printed algorithm-selection by gagliol on 2006-08-11 18:09:15 as **
  • 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 search for Satisfaction
    (1999)
    by I Gent, T Walsh
    posted to gagliolo-phd satisfiability by gagliol on 2006-07-17 11:24:55 as **
  • notes Shifting inductive bias with success-story algorithm, adaptive Levin search, and incremental self-improvement
    Machine Learning, Vol. 28 (1997), pp. 105-130.
  • Algorithm Selection using Reinforcement Learning
    (2000), pp. 511-518.
    by Michail G Lagoudakis, Michael L Littman
    edited by Pat Langley
    posted to gagliolo-phd printed algorithm-selection reinforcement-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 Leyton-Brown, Eugene Nudelman, Yoav Shoham
    edited by Pascal Van Hentenryck
  • Computational Tradeoffs under Bounded Resources (Editorial)
    Artificial Intelligence, Vol. 126, No. 1--2. (2001), pp. 1-4.
    by Eric J Horvitz, Shlomo Zilberstein
    posted to gagliolo-phd bounded-rationality anytime-algorithms by gagliol on 2006-07-17 11:24:54 as **
  • 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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