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Ключевое слово learning_theory [21 articles]

Recent papers classified by the tag learning_theory.
  • Toward a Constructivist Framework for Guiding Change and Innovation in Higher Education
    The Journal of Higher Education, Vol. 70, No. 3. (1999), pp. 235-260.
    by George R Lueddeke
    posted to constructivism higher_education learning learning_theory by vidya on 2006-02-14 16:47:39 as *** along with 1 person trikidiki
  • Pure Exploration for Multi-Armed Bandit Problems
    (19 Feb 2008)
    by Sebastien Bubeck, Remi Munos, Gilles Stoltz
    posted to bandits learning_theory online reinforcement_learning by jsr on 2008-03-08 11:56:37 as ***
  • Metric entropy in competitive on-line prediction
    (9 Sep 2006)
    by Vladimir Vovk
    posted to learning learning_theory metric_entropy statistical_learning by jsr on 2008-03-08 11:42:11 as ** along with 1 person davidr
  • Statistical Learning Theory
    (16 September 1998)
    by Vladimir N Vapnik
    posted to cam-paper learning_theory by johnkork on 2006-10-31 17:42:30 as ** along with 12 people and 3 groups jaonary yaroslavvb gyuli grzegorz sdvillal archroad paolo AbnerCYH abrentnall bundschu navil shimazaki Bioinformatics QFRMC_ConsumerCredit generif_paper
  • Situated Learning : Legitimate Peripheral Participation (Learning in Doing: Social, Cognitive & Computational Perspectives)
    (27 September 1991)
    by Jean Lave, Etienne Wenger
    posted to learning_theory by jeestirling on 2005-10-28 20:50:17 as ** along with 33 people and 17 groups OUE jerchia herrmeyer dperkel qaramazov zephoria BenWillems route145 megfinn ryanshaw alisonruth JackWells akpe wcrosbie barbro lschiff slariccia NML yish MorganHill mroth tystl phillipkent jyew aku8000 3qe pe3 sjones hqcspring mistermagister nspeed rmosvold Sfiri Undergraduate Education ePortfolio distance sims_phd_cohort_2005 ASR digital_youth Wikipedia CoP_CMS mathgamespatterns ETEC533 dtl vds-arg eni SITCRC ahat CSU_School_of_Education Web2-0_Education
  • Manifold Regularization : A Geometric Framework for Learning From Examples
    (2004)
    by M Belkin, P Niyogi, V Sindhwani
    posted to learning_theory machine_learning semi_supervised_learning by hcs on 2007-03-27 20:16:50 as ** along with 1 person scis0000001
  • An elementary proof of the Johnson-Lindenstrauss Lemma
    No. TR-99-006. (1999)
    by Sanjoy Dasgupta, Anupam Gupta
    posted to learning_theory math by hcs on 2007-05-06 20:02:03 as ** along with 2 people sugarexpletive zouzias
  • Learning Bounds for Kernel Regression Using Effective Data Dimensionality
    Neural Comput., Vol. 17, No. 9. (September 2005), pp. 2077-2098.
    by Tong Zhang
    posted to kernels learning_theory machine_learning semi_supervised_learning spectral_graph_theory by hcs on 2007-04-08 18:31:35 as ** along with 1 person davidr
  • A kernel view of the dimensionality reduction of manifolds
    (2004)
    by J Ham, D Lee, S Mika, B Scholkopf
    posted to learning_theory machine_learning semi_supervised_learning by hcs on 2007-04-08 18:28:10 as ** along with 3 people sugarexpletive scis0000001 Scis0000002
  • Scale-sensitive dimensions, uniform convergence, and learnability
    Journal of the ACM, Vol. 44, No. 4. (1997), pp. 615-631.
    by Noga Alon, Shai B David, Nicolò C Bianchi, David Haussler
    posted to learning_theory math by hcs on 2007-05-08 23:09:51 as **
  • More theorems about scale-sensitive dimensions and learning
    (1995), pp. 392-401.
    by Peter L Bartlett, Philip M Long
    posted to learning_theory math by hcs on 2007-05-08 23:08:57 as **
  • Playing large games using simple strategies
    (2003)
    by R Lipton, E Markakis, A Mehta
    posted to game_theory learning_theory by hcs on 2007-03-05 01:12:38 as ** along with 1 person and 4 groups euclid Algorithms metric_embeddings TCS Polytopes
  • On the Shannon capacity of a graph
    Information Theory, IEEE Transactions on, Vol. 25, No. 1. (1979), pp. 1-7.
    by L Lovasz
    posted to graph_theory information_theory learning_theory machine_learning by hcs on 2007-03-28 20:02:48 as **
  • The Nature of Statistical Learning Theory (Information Science and Statistics)
    (19 November 1999)
    by Vladimir N Vapnik
    posted to learning_theory by ecome on 2008-04-24 15:56:56 as ** along with 12 people akastrin jaonary yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil teesid jung_dalglish
  • Cryptography and Machine Learning
    (1993), pp. 427-439.
    by Ronald L Rivest
    posted to cryptography learning_theory machine_learning by bsilverthorn on 2007-12-10 21:47:55 as read
  • 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
  • An introduction to computational learning theory
    (1994)
    by Michael J Kearns, Umesh V Vazirani
    posted to classic learning_theory by bsilverthorn on 2007-11-21 22:31:51 as read
  • The Weighted Majority Algorithm
    30th Annual Symposium on Foundations of Computer Science (1989), pp. 256-261.
    by Nick Littlestone, Manfred K Warmuth
    posted to best_expert learning_theory online_learning by bsilverthorn on 2008-03-09 23:04:35 as read along with 1 person davidr
  • 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 **
  • 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
  • Queries revisited
    Theoretical Computer Science, Vol. 313, No. 2. (17 February 2004), pp. 175-194.
    by Dana Angluin
    posted to learning_theory membership_queries survey by bsilverthorn on 2007-11-20 22:06:05 as read
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