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Group: Optimization - with tag machine-learning [24 articles]

Недавние статьи, отправленные по почте членами Optimization группы with tag machine-learning
  • A Cross-Entropy Based Population Learning Algorithm for Discrete-Continuous Scheduling with Continuous Resource Discretisation
    Knowledge-Based Intelligent Information and Engineering Systems (2008), pp. 82-89.
    by Piotr Jędrzejowicz, Aleksander Skakovski
    posted to scheduling resource-allocation metaheuristic machine-learning evolutionary-computation discrete cross-entropy continuous by nojhan to the group Optimization on 2008-09-23 10:43:49 as ** along with 3 groups Metaheuristics EvolutionaryComputation Automated planning and scheduling
  • The discovery of structural form.
    Proceedings of the National Academy of Sciences of the United States of America (31 July 2008)
    by Charles Kemp, Joshua B B Tenenbaum
    posted to probability machine-learning dimension-reduction data-mining clustering classification by nojhan to the group Optimization on 2008-09-02 20:05:32 as **** along with 19 people and 2 groups stober stringertheory thefillm amatos markstoehr uhhhhhhhhhhm A_Olympia tmmurali jmchauvet shigepong rsantana tbloomf OriginalLurch markusd jborn deubel jyuh Zephyrus jago logics of knowledge Roswell Cancer Crosstalk
  • Geodesic Gaussian kernels for value function approximation
    Autonomous Robots
    by Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar
    posted to classification gaussian-mixture machine-learning markov navigation optimization path reinforcement-learning robot by nojhan to the group Optimization on 2008-07-11 14:37:12 as *****
  • Genetic Algorithms in Search, Optimization, and Machine Learning
    (01 January 1989)
    by David E Goldberg
    posted to metaheuristic machine-learning genetic-algorithm evolutionary-computation by nojhan to the group Optimization on 2007-09-05 15:30:52 as ** along with 6 people and 2 groups gale82 mcphee sjgaller rsantana burtonwu mahmoodr EvolutionaryComputation Metaheuristics
  • The Problem of Tuning Metaheuristics (Diski: Dissertationen Zur Kuenstlichen Intelligenz)
    (01 August 2005)
    by Mauro Birattari
    posted to performance-assessment parameter-setting metaheuristic machine-learning evolutionary-computation by nojhan to the group Optimization on 2007-09-05 15:20:10 as ***** along with 2 groups EvolutionaryComputation Metaheuristics
  • Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot
    Advances in Artificial Life (2007), pp. 294-303.
    by Massimiliano Schembri, Marco Mirolli, Gianluca Baldassarre
    posted to robot reinforcement-learning neural-network metaheuristic machine-learning genetic-algorithm evolutionary-computation by nojhan to the group Optimization on 2007-09-05 15:12:14 as ** along with 2 groups EvolutionaryComputation Metaheuristics
  • A nonparametric statistical approach to clustering via mode identification
    Journal of Machine Learning Research, Vol. 8, No. 8. (2007), pp. 1687-1723.
    by J Li, S Ray, BG Lindsay
    posted to machine-learning em clustering classification by nojhan to the group Optimization on 2007-08-21 09:43:32 as ** along with 2 groups EvolutionaryComputation Metaheuristics
  • Kernel based automatic clustering using modified particle swarm optimization algorithm
    (2007), pp. 2-9.
    by Ajith Abraham, Swagatam Das, Amit Konar
    posted to particle-swarm-optimization metaheuristic machine-learning kernel by nojhan to the group Optimization on 2007-08-07 10:01:15 as *** along with 2 people and 2 groups wtribbey uwenagel EvolutionaryComputation Metaheuristics
  • Towards a Theory of Practice in Metaheuristics Design: A Machine Learning Perspective
    Theoretical Informatics and Applications, Vol. 40, No. 2. (2006), pp. 353-369.
    by M Birattari, M Zlochin, M Dorigo
    posted to machine-learning metaheuristic performance-assessment by nojhan to the group Optimization on 2007-02-13 19:14:02 as read along with 2 groups EvolutionaryComputation Metaheuristics
  • The Elements of Statistical Learning
    (09 August 2001)
    by T Hastie, R Tibshirani, JH Friedman
    posted to machine-learning statistic by nojhan to the group Optimization on 2007-02-13 15:09:19 as ** along with 40 people and 9 groups thefillm ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia robotact amirsaffari blueskies Repton quianominorleo jaonary CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics CSBBGraphTheory
  • ‘Infotaxis’ as a strategy for searching without gradients
    Nature, Vol. 445, No. 7126., pp. 406-409.
    by Massimo Vergassola, Emmanuel Villermaux, Boris I Shraiman
    posted to simulation robot path optimization modelling machine-learning localization ecology derivative-free bio-inspired artificial-intelligence by nojhan to the group Optimization on 2007-01-29 10:47:28 as *** along with 4 people and 2 groups muraken davidcsterratt cckan ganden EvolutionaryComputation Metaheuristics
  • Fat-shattering and the learnability of real-valued functions
    (1994), pp. 299-310.
    by Peter L Bartlett, Philip M Long, Robert C Williamson
    posted to statistic random noise machine-learning continuous by nojhan to the group Optimization on 2007-01-25 08:35:16 as ** along with 1 person and 2 groups ded_maxim EvolutionaryComputation Metaheuristics
  • Map-based navigation in mobile robots:: II. A review of map-learning and path-planning strategies
    Cognitive Systems Research, Vol. 4, No. 4. (December 2003), pp. 283-317.
    by Jean-Arcady Meyer, David Filliat
    posted to robot planning path navigation machine-learning by nojhan to the group Optimization on 2007-01-23 13:50:09 as ***** along with 1 person and 2 groups gatsoulis EvolutionaryComputation Metaheuristics
  • A multi-level thresholding approach using a hybrid optimal estimation algorithm
    Pattern Recognition Letters, Vol. 28, No. 5. (1 April 2007), pp. 662-669.
    by Shu-Kai S Fan, Yen Lin
    posted to particle-swarm-optimization metaheuristic machine-learning hybridization gaussian-mixture evolutionary-computation em by nojhan to the group Optimization on 2007-01-16 13:01:19 as * along with 2 groups EvolutionaryComputation Metaheuristics
  • Linkage Learning via Probabilistic Modeling in the Extended Compact Genetic Algorithm (ECGA)
    : Scalable Optimization via Probabilistic Modeling (2006), pp. 39-61.
    by Georges R Harik, Fernando G Lobo, Kumara Sastry
    posted to probability-density probability metaheuristic machine-learning genetic-algorithm evolutionary-computation by nojhan to the group Optimization on 2007-01-15 17:20:31 as ** along with 2 groups EvolutionaryComputation Metaheuristics
  • A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models
    (1997)
    by J Bilmes
    posted to em gaussian-mixture machine-learning markov parameter-estimation by nojhan to the group Optimization on 2006-12-19 13:36:16 as ** along with 9 people and 3 groups bigga danpopovici oannes pool007 sugarexpletive vitalaswp3 360varial asterix77 eddymier EvolutionaryComputation Regulomics_UCHSC Metaheuristics
  • Understanding the Yarowsky Algorithm
    Computational Linguistics, Vol. 30, No. 3. (September 2004), pp. 365-395.
    by Steven Abney
    posted to machine-learning optimization yarowski by nojhan to the group Optimization on 2006-12-13 07:31:45 as *** along with 4 people and 2 groups ansobol davidr andi_urra KevinMcGowan EvolutionaryComputation Metaheuristics
  • Genetic algorithms in constructive induction
    Lecture Notes in Computer Science : Foundations of Intelligent Systems (1999), pp. 665-673.
    by Jacek Jelonek, Maciej Komosiåski
    posted to classification evolutionary-computation machine-learning metaheuristic by nojhan to the group Optimization on 2006-12-12 16:56:16 as ** along with 2 groups EvolutionaryComputation Metaheuristics
  • Pattern Recognition and Machine Learning (Information Science and Statistics)
    (28 August 2006)
    by Christopher M Bishop
    posted to machine-learning pattern-recognition by nojhan to the group Optimization on 2006-09-26 18:44:17 as ***** along with 30 people and 4 groups thefillm stibor ppeeling yaroslavvb sdvillal gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos teesid robotact Hoertnagl matjes quianominorleo eddymier delip markusd filippone singhsh ssomani pprett rwilliamson Dukhat EvolutionaryComputation Metaheuristics contact-id MuSAMA
  • A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification
    Talanta, Vol. In Press, Corrected Proof
    by Qi Shen, Wei-Min Shi, Wei Kong, Bao-Xian Ye
    posted to machine-learning metaheuristic particle-swarm-optimization support-vector-machine by nojhan to the group Optimization on 2006-09-04 20:22:53 as **** along with 2 groups EvolutionaryComputation Metaheuristics
  • The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
    (2006), pp. 1281-1288.
    by Janusz Wojtusiak, Ryszard S Michalski
    posted to continuous evolutionary-computation machine-learning metaheuristic optimization by nojhan to the group Optimization on 2006-08-31 08:39:33 as **** along with 2 groups EvolutionaryComputation Metaheuristics
  • Probabilistic modeling for continuous EDA with Boltzmann selection and Kullback-Leibeler divergence
    (2006), pp. 389-396.
    by Cai Yunpeng, Sun Xiaomin, Jia Peifa
    posted to boltzmann estimation-of-distribution-algorithm kullback machine-learning by nojhan to the group Optimization on 2006-08-31 08:18:16 as ***** along with 2 people and 3 groups rsantana lmarti EvolutionaryComputation Metaheuristics estimation_of_distribution_algorithms
  • Cross Entropy Approximation of Structured Covariance Matrices
    (30 Aug 2006)
    by Cheng-Yuan Liou, Bruce R Musicus
    posted to approximation covariance cross-entropy kullback machine-learning probability-density by nojhan to the group Optimization on 2006-08-31 08:07:16 as *** along with 2 groups EvolutionaryComputation Metaheuristics
  • Occam's hammer: a link between randomized learning and multiple testing FDR control
    (29 Aug 2006)
    by Gilles Blanchard, François Fleuret
    posted to machine-learning population selection stochastic by nojhan to the group Optimization on 2006-08-31 08:04:31 as **** along with 2 groups EvolutionaryComputation Metaheuristics
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