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bsilverthorn's library [142 articles]

最近录入 bsilverthorn's 文献库.
  • Failure of intuition in elementary rigid body dynamics
    (10 Jan 2008)
    by Nivaldo A Lemos
    posted to rigid_body physics by bsilverthorn on 2008-07-11 22:10:13 as read
  • Exploration exploitation in Go: UCT for Monte-Carlo Go
    Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006) (2006)
    by Sylvain Gelly, Yizao Wang
    posted to uct monte_carlo go by bsilverthorn on 2008-07-01 17:07:03 as read
  • 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 **
  • Applying Machine Learning to Low-Knowledge Control of Optimization Algorithms
    Computational Intelligence, Vol. 21, No. 4. (November 2005), pp. 372-387.
    by Tom Carchrae, Christopher J Beck
    posted to low_knowledge algorithm_portfolios by bsilverthorn on 2008-04-23 19:26:49 as read
  • Restart Policies with Dependence among Runs: A Dynamic Programming Approach
    Principles and Practice of Constraint Programming - CP 2002 (2002), pp. 175-200.
    by Yongshao Ruan, Eric Horvitz, Henry Kautz
    posted to restart_strategies dynamic_programming by bsilverthorn on 2008-04-23 17:12:22 as read
  • Randomization and Restart Strategies
    (2006)
    by Huayue Wu
    posted to satisfiability restart_strategies phd_theses by bsilverthorn on 2008-04-23 17:02:25 as read
  • Dynamic restart policies
    (2002), pp. 674-681.
    by Henry Kautz, Eric Horvitz, Yongshao Ruan, Carla Gomes, Bart Selman
    posted to satisfiability restart_strategies by bsilverthorn on 2008-04-23 17:02:00 as read
  • Learning the Empirical Hardness of Optimization Problems: The Case of Combinatorial Auctions
    Principles and Practice of Constraint Programming - CP 2002 (2002), pp. 91-100.
    by Kevin Leyton-Brown, Eugene Nudelman, Yoav Shoham
    posted to empirical_hardness algorithm_behavior by bsilverthorn on 2008-04-23 03:19:11 as read
  • 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)
    edited by Gregory JE Rawlins
    posted to steady_state genetic_algorithms by bsilverthorn on 2008-04-22 21:25:01 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 ***
  • 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 **
  • A new approach to linear filtering and prediction problems
    Journal of Basic Engineering, Vol. 82, No. 1. (1960), pp. 35-45.
    by Rudolf E Kalman
    posted to kalman_filters by bsilverthorn on 2008-04-16 02:26:04 as read
  • Intelligence without representation
    Artificial Intelligence, Vol. 47 (1991), pp. 139-159.
    by Rodney A Brooks
    posted to robotics seminal by bsilverthorn on 2008-03-20 23:15:50 as read
  • 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 **
  • notes Using Confidence Bounds for Exploitation-Exploration Trade-offs
    The Journal of Machine Learning Research, Vol. 3 (2003), pp. 397-422.
    by Peter Auer
  • The Multiplicative Weights Update Method: a Meta Algorithm and Applications
    (2005)
    by Sanjeev Arora, Elad Hazan, Satyen Kale
    posted to meta_algorithms multiplicative_weights by bsilverthorn on 2008-03-18 21:37:50 as read
  • 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 **
  • Using upper confidence bounds for online learning
    Foundations of Computer Science, 2000. Proceedings. 41st Annual Symposium on (2000), pp. 270-279.
    by Peter Auer
  • Robbing the bandit: less regret in online geometric optimization against an adaptive adversary
    (2006), pp. 937-943.
    by Varsha Dani, Thomas P Hayes
  • How to Beat the Adaptive Multi-Armed Bandit
    Arxiv preprint cs.DS/0602053 (2006)
    by Varsha Dani, Thomas P Hayes
    posted to adversarial bandit_problem by bsilverthorn on 2008-03-14 03:02:13 as read
  • On Following the Perturbed Leader in the Bandit Setting
    Algorithmic Learning Theory (2005), pp. 371-385.
    by Jussi Kujala, Tapio Elomaa
    posted to bandit_problem perturbed_leader by bsilverthorn on 2008-03-13 16:09:23 as read
  • Adaptive Treatment Allocation and the Multi-Armed Bandit Problem
    The Annals of Statistics, Vol. 15, No. 3. (1987), pp. 1091-1114.
    by Tze L Lai
    posted to bandit_problem classic treatment_allocation by bsilverthorn on 2008-03-12 17:34:13 as read
  • Finite-time Analysis of the Multiarmed Bandit Problem
    Machine Learning, Vol. 47, No. 2. (1 May 2002), pp. 235-256.
    by Peter Auer, Nicolò Cesa-Bianchi, Paul Fischer
    posted to bandit_problem finite_time by bsilverthorn on 2008-03-12 17:30:52 as *
  • An Asymptotically Optimal Algorithm for the Max k-Armed Bandit Problem
    (2006)
    by Matthew J Streeter, Stephen F Smith
    posted to bandit_problem extreme_values max_bandit by bsilverthorn on 2008-03-12 16:13:36 as read
  • A Simple Distribution-Free Approach to the Max k-Armed Bandit Problem
    Principles and Practice of Constraint Programming - CP 2006 (2006), pp. 560-574.
    by Matthew J Streeter, Stephen F Smith
    posted to bandit_problem max_bandit by bsilverthorn on 2008-03-12 15:58:37 as read
  • The Max K-Armed Bandit: A New Model for Exploration Applied to Search Heuristic Selection
    (2005)
    by Vincent Cicirello, Stephen Smith
  • 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 **
  • Adaptive Routing with End-to-End Feedback: Distributed Learning and Geometric Approaches
    (2004), pp. 45-53.
    by Baruch Awerbuch, Robert D Kleinberg
  • Efficient algorithms for online decision problems
    Journal of Computer and System Sciences, Vol. 71, No. 3. (October 2005), pp. 291-307.
    by Adam Kalai, Santosh Vempala
    posted to full_information online_algorithms perturbed_leader by bsilverthorn on 2008-03-11 21:39:42 as read
  • Following the Perturbed Leader to Gamble at Multi-armed Bandits
    Algorithmic Learning Theory (2007), pp. 166-180.
    by Jussi Kujala, Tapio Elomaa
  • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    Journal of Computer and System Sciences, Vol. 55, No. 1. (1997), pp. 119-139.
    by Yoav Freund, Robert E Schapire
    posted to best_expert boosting learning_theory online_learning by bsilverthorn on 2008-03-11 16:03:16 as read
  • The Weighted Majority Algorithm
    30th Annual Symposium on Foundations of Computer Science (1989), pp. 256-261.
    by Nick Littlestone, Manfred K Warmuth
  • Tracking the Best Expert
    Machine Learning, Vol. 32, No. 2. (1998), pp. 151-178.
    by Mark Herbster, Manfred Warmuth
    posted to best_expert by bsilverthorn on 2008-03-09 23:01:59 as read
  • 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 Learning and the Metrical Task System Problem
    Machine Learning, Vol. 39, No. 1. (1 April 2000), pp. 35-58.
    by Avrim Blum, Carl Burch
  • 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 **
  • 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 ***
  • Gambling in a rigged casino: the adversarial multi-armed bandit problem
    (1995), pp. 322-331.
    by Peter Auer, Nicolò C Bianchi, Yoav Freund, Robert E Schapire
    posted to adversarial bandit_problem partial_information by bsilverthorn on 2008-03-08 21:57:06 as read
  • 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 **
  • The best expert versus the smartest algorithm
    Theoretical Computer Science, Vol. 324, No. 2-3. (20 September 2004), pp. 361-380.
    by Peter Chen, Guoli Ding
    posted to best_expert by bsilverthorn on 2008-03-07 00:39:01 as read
  • 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
  • Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT
    Parallel Problem Solving from Nature - PPSN VIII (2004), pp. 51-60.
    by Holger H Hoos, Kevin Smyth, Thomas Stützle
    posted to local_search max_sat performance_prediction by bsilverthorn on 2008-03-05 00:16:27 as read
  • Correlated and uncorrelated fitness landscapes and how to tell the difference
    Biological Cybernetics, Vol. 63, No. 5. (1990), pp. 325-336.
    by Edward Weinberger
    posted to correlation_length fitness_landscapes by bsilverthorn on 2008-03-05 00:14:12 as read
  • NK fitness landscapes
    Handbook of Evolutionary Computation, Vol. 2 (1997)
    by Lee Altenberg
    posted to fitness_landscapes genetic_algorithms nk_landscapes by bsilverthorn on 2008-03-04 23:41:51 as read
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