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bsilverthorn library [142 articles]

最近 bsilverthorn さんのライブラリ (優先度順).
  • Parameter adjustment based on performance prediction: Towards an instance-aware problem solver
    (December 2005)
    by Frank Hutter, Youssef Hamadi
    posted to instance_aware parameter_adjustment performance_prediction by bsilverthorn on 2008-01-21 20:20:16 as ****
  • Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability
    (1995), pp. 488-496.
    by Jurgen Schmidhuber
    posted to kolmgorov_complexity levin_search machine_learning by bsilverthorn on 2007-11-09 22:01:24 as ****
  • Generation gaps revisited
    Foundations of Genetic Algorithms, Vol. 2 (1993), pp. 19-28.
    by Kenneth A De Jong, Jayshree Sarma
    posted to steady_state genetic_algorithms generation_gaps by bsilverthorn on 2008-04-22 21:22:34 as ***
  • Minimizing Regret with Label Efficient Prediction
    Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004: Proceedings (2004)
    by Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
    posted to label_efficient best_expert by bsilverthorn on 2008-03-08 22:05:54 as ***
  • Provably Bounded-Optimal Agents
    Journal of Artificial Intelligence Research, Vol. 2 (May 1995), pp. 575-609.
    by Stuart Russell, Devika Subramanian
    posted to bounded_optimality seminal by bsilverthorn on 2008-01-21 16:48:28 as ***
  • No more lunch: analysis of sequential search
    Evolutionary Computation, 2004. CEC2004. Congress on, Vol. 1 (2004), pp. 227-234 Vol.1.
    by Tom English
    posted to no_free_lunch by bsilverthorn on 2007-12-04 20:13:42 as ***
  • Steps toward Artificial Intelligence
    Proceedings of the IRE, Vol. 49, No. 1. (1961), pp. 8-30.
    by Marvin Minsky
    posted to seminal survey by bsilverthorn on 2007-12-03 23:41:28 as ***
  • Toward Efficient Agnostic Learning
    (1992), pp. 341-352.
    by Michael J Kearns, Robert E Schapire, Linda Sellie
    posted to agnostic_learning learning_theory seminal by bsilverthorn on 2007-11-17 23:50:17 as *** along with 1 person robotact
  • Bandit Algorithms for Tree Search
    (13 Mar 2007)
    by Pierre-Arnaud Coquelin, Rémi Munos
    posted to bandit_problem tree_search by bsilverthorn on 2007-11-13 20:34:03 as *** along with 1 person sato-ryu
  • Evolvability
    Mathematical Foundations of Computer Science 2007 (2007), pp. 22-43.
    by Leslie Valiant
    posted to evolution evolvability by bsilverthorn on 2007-11-12 20:52:01 as ***
  • Do the right thing: studies in limited rationality
    (1991)
    by Stuart Russell, Eric Wefald
    posted to bounded_optimality by bsilverthorn on 2007-11-05 20:57:34 as ***
  • Theoretical impediments to artificial intelligence
    Information Processing (1974), pp. 615-619.
    by Michael O Rabin
    posted to classic by bsilverthorn on 2008-04-26 00:19:09 as **
  • Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
    Principles and Practice of Constraint Programming - CP 2006 (2006), pp. 213-228.
    by Frank Hutter, Youssef Hamadi, Holger Hoos, Kevin Leyton-Brown
    posted to performance_prediction parameter_adjustment by bsilverthorn on 2008-04-24 01:55:50 as **
  • On Portfolios for Backtracking Search in the Presence of Deadlines
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on, Vol. 1 (2007), pp. 231-238.
    by Huayue Wu, Peter van Beek
    posted to deadlines complete_search algorithm_portfolios by bsilverthorn on 2008-04-24 01:55:14 as **
  • Adaptation in Natural and Artificial Systems
    (1975)
    by John H Holland
    posted to genetic_algorithms classic by bsilverthorn on 2008-04-22 21:35:19 as **
  • A Study of Reproduction in Generational and Steady-State Genetic Algorithms
    Foundations of Genetic Algorithms (1991)
    by G Syswerda
    edited by Gregory JE Rawlins
    posted to steady_state genetic_algorithms by bsilverthorn on 2008-04-22 21:25:01 as **
  • Approximation to Bayes risk in repeated plays
    Contributions to the Theory of Games, Vol. 3 (1957), pp. 97-139.
    by James Hannan
    edited by M Dresher, AW Tucker, P Wolfe
    posted to best_expert game_theory seminal by bsilverthorn on 2008-04-17 23:15:41 as **
  • From External to Internal Regret
    The Journal of Machine Learning Research, Vol. 8 (2007), pp. 1307-1324.
    by Avrim Blum, Yishay Mansour
    posted to bandit_problem internal_regret by bsilverthorn on 2008-03-19 15:56:19 as **
  • An Approach to Bounded Rationality
    (2007)
    by Eli Ben-Sasson, Adam T Kalai, Ehud Kalai
    posted to bounded_rationality game_theory nash_equilibria by bsilverthorn on 2008-03-19 15:37:34 as **
  • The Nonstochastic Multiarmed Bandit Problem
    SIAM Journal on Computing, Vol. 32, No. 1. (2002), pp. 48-77.
    by Peter Auer, Nicolò C Bianchi, Yoav Freund, Robert E Schapire
    posted to bandit_problem survey worst_case by bsilverthorn on 2008-03-17 16:33:15 as **
  • Efficient Algorithms for Universal Portfolios
    Journal of Machine Learning Research, Vol. 3, No. 3. (April 2003), pp. 423-441.
    by Adam Kalai, Santosh Vempala
    posted to market_portfolios random_walks by bsilverthorn on 2008-03-12 00:30:12 as **
  • Multi-Armed Bandits in Metric Spaces
    (May 2008)
    by Robert Kleinberg, Aleksandrs Slivkins, Eli Upfal
    posted to bandit_problem online_algorithms by bsilverthorn on 2008-03-11 23:14:20 as **
  • Asymptotically efficient adaptive allocation rules
    Advances in Applied Mathematics, Vol. 6, No. 1. (1985), pp. 4-22.
    by Tze L Lai, Herbert Robbins
    posted to allocation_rules by bsilverthorn on 2008-03-09 22:29:31 as **
  • Online computation and competitive analysis
    (1998)
    by Allan Borodin, Ran El-Yaniv
    posted to online_algorithms by bsilverthorn on 2008-03-09 20:04:03 as **
  • On-line choice of on-line algorithms
    (1993), pp. 432-440.
    by Yossi Azar, Andrei Z Broder, Mark S Manasse
    posted to metrical_tasks online_algorithms by bsilverthorn on 2008-03-09 19:52:27 as **
  • Master Algorithms for Active Experts Problems based on Increasing Loss Values
    Arxiv preprint cs.LG/0502067 (2005)
    by Jan Poland, Marcus Hutter
    posted to active_experts bandit_problem best_expert by bsilverthorn on 2008-03-08 21:27:17 as **
  • On the Mathematical Foundations of Learning
    Bulletin of the American Mathematical Society, Vol. 39, No. 1. (2002), pp. 1-49.
    by Felipe Cucker, Steve Smale
    posted to learning_theory statistical_learning by bsilverthorn on 2008-03-05 16:15:29 as ** along with 1 person jsr
  • Theory and applications of Robust Optimization
    (2007)
    by Dimitris Bertsimas, David B Brown, Constantine Caramanis
    posted to robust_optimization survey by bsilverthorn on 2008-02-27 22:20:01 as **
  • Beyond PAC: A Robust Optimization Approach for Learning in the Presence of Noise
    (2007)
    by Constantine Caramanis, Shie Mannor
    posted to machine_learning pac_learning robust_optimization with_noise by bsilverthorn on 2008-02-27 22:17:41 as **
  • Contrasting Structured and Random Permutation Flow-Shop Scheduling Problems: Search Space Topology and Algorithm Performance
    INFORMS Journal on Computing, Vol. 14, No. 2. (2002), pp. 98-123.
    by Jean-Paul Watson, Laura Barbulescu, Darrell L Whitley, Adele E Howe
    posted to algorithm_behavior shop_scheduling by bsilverthorn on 2008-02-10 17:29:17 as **
  • A Dynamic Model of Tabu Search for the Job-Shop Scheduling Problem
    Proc. of the 1st Multidisciplinary Int. Conf. on Scheduling: Theory and Applications, pp. 320-336.
    by Jean-Paul Watson, Darrell L Whitley, Adele E Howe
    posted to algorithm_behavior shop_scheduling tabu_search by bsilverthorn on 2008-02-10 17:25:54 as **
  • notes Combining Multiple Heuristics
    STACS 2006 (2006), pp. 242-253.
    by Tzur Sayag, Shai Fine, Yishay Mansour
    posted to algorithm_portfolios pac_bounds by bsilverthorn on 2008-02-01 00:01:30 as **
  • Using decision procedures efficiently for optimization
    Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling (2007), pp. 312-319.
    by Matthew Streeter, Stephen F Smith
    posted to decision_problems planning query_strategies by bsilverthorn on 2008-01-31 23:50:57 as **
  • Progress in incremental machine learning
    (2003)
    by Ray Solomonoff
    posted to machine_learning by bsilverthorn on 2008-01-27 06:33:44 as ** along with 1 person scis0000001
  • Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement
    Machine Learning, Vol. 28, No. 1. (1 July 1997), pp. 105-130.
    by Jürgen Schmidhuber, Jieyu Zhao, Marco Wiering
    posted to levin_search success-story by bsilverthorn on 2008-01-27 06:31:13 as **
  • Using Online Algorithms to Solve NP-Hard Problems More Efficiently in Practice
    (December 2007)
    by Matthew Streeter
    posted to algorithm_portfolios online_algorithms phd_theses by bsilverthorn on 2008-01-27 06:26:20 as **
  • Monitoring and control of anytime algorithms: A dynamic programming approach
    Artificial Intelligence, Vol. 126, No. 1-2. (February 2001), pp. 139-157.
    by Eric A Hansen, Shlomo Zilberstein
    posted to anytime_algorithms dynamic_programming by bsilverthorn on 2008-01-27 06:18:42 as **
  • The Algorithm Selection Problem
    Advances in Computers, Vol. 15 (1976), pp. 65-118.
    by JR Rice
    posted to algorithm_selection classic by bsilverthorn on 2008-01-27 02:51:46 as **
  • Reinforcement learning for active model selection
    (2005), pp. 17-23.
    by Aloak Kapoor, Russell Greiner
    posted to model_selection reinforcement_learning by bsilverthorn on 2008-01-25 17:48:16 as **
  • Adaptive Online Time Allocation to Search Algorithms
    Machine Learning: ECML 2004 (2004), pp. 134-143.
    by Matteo Gagliolo, Viktor Zhumatiy, Jürgen Schmidhuber
    posted to algorithm_portfolios genetic_algorithms by bsilverthorn on 2008-01-21 21:15:37 as **
  • Applying machine learning to low-knowledge control of optimization algorithms
    Computational Intelligence, Vol. 21, No. 4. (2005), pp. 372-387.
    by Tom Carchrae, JC Beck
    posted to algorithm_portfolios machine_learning by bsilverthorn on 2008-01-21 20:55:46 as **
  • Online Selection, Adaptation, and Hybridization of Algorithms
    (November 2006)
    by Matthew J Streeter
    posted to algorithm_portfolios algorithm_selection bandit_problem hybrid_algorithms by bsilverthorn on 2008-01-21 20:43:00 as **
  • Optimal schedules for parallelizing anytime algorithms: the case of independent processes
    (2002), pp. 719-724.
    by Lev Finkelstein, Shaul Markovitch, Ehud Rivlin
    posted to algorithm_portfolios anytime_algorithms optimal_schedules by bsilverthorn on 2008-01-21 20:33:21 as **
  • A general agnostic active learning algorithm
    by S Dasgupta, D Hsu, C Monteleoni
    posted to active_learning agnostic_learning learning_theory by bsilverthorn on 2007-12-23 00:23:58 as **
  • A theory of the learnable
    Communications of the ACM, Vol. 27, No. 11. (November 1984), pp. 1134-1142.
    by Leslie G Valiant
    posted to learning_theory seminal by bsilverthorn on 2007-12-10 22:28:29 as ** along with 5 people mthomure sdvillal AbnerCYH dwf mangesh
  • The Computational Complexity of Machine Learning
    (1990)
    by Michael J Kearns
    posted to computational_complexity learning_theory machine_learning seminal by bsilverthorn on 2007-12-10 21:05:53 as **
  • The complexity of theorem-proving procedures
    (1971), pp. 151-158.
    by Stephen A Cook
    posted to computational_complexity seminal by bsilverthorn on 2007-12-03 23:46:03 as ** along with 6 people eporreca JakubSzymanik stavros sdvillal voronov dfabbri
  • Heuristics: intelligent search strategies for computer problem solving
    (1984)
    by Judea Pearl
    posted to classic heuristic_search by bsilverthorn on 2007-11-30 23:10:31 as ** along with 1 person xiaoyan2006
  • Planning with predictive state representations
    Machine Learning and Applications, 2004. Proceedings. 2004 International Conference on (2004), pp. 304-311.
    by MR James, S Singh, ML Littman
    posted to predictive_state reinforcement_learning by bsilverthorn on 2007-11-26 23:39:05 as **
  • Predictive representations of state
    Advances in Neural Information Processing Systems, Vol. 14 (2002), pp. 1555-1561.
    by M Littman, R Sutton, S Singh
    posted to predictive_state reinforcement_learning by bsilverthorn on 2007-11-26 23:37:56 as ** along with 1 person robotact
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