registrieren | anmelden | FAQ      [?] 
Recent | Unread | Search | Authors | Tags | Export

kiras learning [61 articles]

Neue Publikationen in kiras Bibliothek eingetragen unter dem Bezeichner: learning. You can also see everyone's learning.
  • Making large-scale support vector machine learning practical
    (1999), pp. 169-184.
    by Thorsten Joachims
    edited by Bernhard Schölkopf, Christopher JC Burges, Alexander J Smola
    posted to learning svm by kira on 2008-05-29 14:24:02 as ** along with 4 people dmd johnkork vlachmore liurh_0614
  • Learning algorithms with optimal stability in neural networks
    Journal of Physics A, Vol. 20, No. 11. (1987), pp. 745-752.
    by Werner Krauth, Marc Mézard
    posted to learning perceptron-learning-rule by kira on 2008-05-26 11:59:54 as **
  • From Margin to Sparsity
    (2000), pp. 210-216.
    by Thore Graepel, Ralf Herbrich, Robert C Williamson
    posted to learning perceptron-learning-rule svm by kira on 2008-03-12 10:22:16 as read
  • Learning partially observable action schemas
    (2006)
    by D Shahaf, E Amir
    posted to action-planning learning by kira on 2008-02-18 13:03:00 as read
  • Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition
    (1995), pp. 549-557.
    by Xuemei Wang
    posted to action-planning learning by kira on 2007-12-12 15:28:01 as read
  • Learning by experimentation: incremental refinement of incomplete planning domains
    Proceedings of the Eleventh International Conference on Machine Learning (1994)
    by Yolanda Gil
    posted to action-planning learning by kira on 2007-12-12 15:20:52 as read
  • ARMS: Action-related modelling system for learning action models
    (2005)
    by Kangheng Wu, Qiang Yang, Yunfei Jiang
    posted to action-planning learning by kira on 2007-12-12 15:18:29 as ***
  • The perceptron: a probabilistic model for information storage and organization in the brain
    Psychological Review, Vol. 65, No. 6. (November 1958), pp. 386-408.
    by Frank Rosenblatt
    posted to learning perceptron-learning-rule by kira on 2007-12-03 16:14:18 as **
  • Learning symbolic models of stochastic world domains
    Journal of Artificial Intelligence Research, Vol. 29 (2007), pp. 309-352.
    by Hanna M Pasula, Luke S Zettlemoyer, Leslie P Kaelbling
    posted to action action-planning deixis learning phd rules by kira on 2007-11-16 11:43:52 as read
  • Learning World Models in Environments with Manifest Causal Structure
    No. AITR-1513. (1995)
    by Ruth Bergman
    posted to learning rules by kira on 2007-11-16 10:41:01 as ***
  • Learning Executable Agent Behaviors from Observation
    (2006)
    by Andrew Guillory, Hai Nguyen, Tucker Balch, Charles Isbell
    posted to action hmm learning phd rules by kira on 2007-11-08 11:03:50 as read
  • Schema Learning: Experience-based Construction of Predictive Action Models
    (2005), pp. 585-562.
    by Michael Holmes, Charles Isbell
    posted to action action-planning learning phd rules by kira on 2007-11-08 10:46:41 as read
  • Rule creation and rule learning through environmental exploration
    (1989), pp. 675-680.
    by Wei-Min Shen, Herbert A Simon
    posted to action action-planning learning rules by kira on 2007-11-08 10:16:39 as **
  • Multilayer feedforward networks are universal approximators
    Neural Networks, Vol. 2, No. 5. (1989), pp. 359-366.
    by Kurt Hornik, Maxwell Stinchcombe, Halbert White
    posted to learning neural-networks phd by kira on 2007-09-27 14:24:55 as ** along with 4 people dcastro bbauwens eddymier nkishan
  • Considerations arising from a complementary learning systems perspective on hippocampus and neocortex
    Hippocampus, Vol. 6, No. 6. (1996), pp. 654-665.
    by James L Mcclelland, Nigel H Goddard
    posted to hippocampus learning neocortex neural-networks phd by kira on 2007-08-17 15:25:30 as **
  • Origins of universal grammar in planned action
    (2007)
    by Mark Steedman
    posted to action-planning affordance associative hippocampus language learning memory phd representation willshaw-net by kira on 2007-08-15 10:38:56 as **
  • Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia
    Neural Computation, Vol. 18, No. 2. (1 February 2005), pp. 283-328.
    by Randall C O'Reilly, Michael J Frank
    posted to leabra learning memory neural-networks phd by kira on 2007-08-12 19:40:26 as ** along with 3 people and 1 group Whyking awooga josepe Computational-Neurobiology
  • Prefrontal cortex and flexible cognitive control: rules without symbols
    Proceedings of the National Academy of Sciences of the United States of America, Vol. 102, No. 20. (17 May 2005), pp. 7338-7343.
    by Nicolas P Rougier, David C Noelle, Todd S Braver, Jonathan D Cohen, Randall C O'Reilly
    posted to learning neural-networks phd representation rules by kira on 2007-08-12 12:59:43 as read along with 4 people and 1 group neilh neural_nets_chapter awooga as3171 S-Lab
  • Biologically plausible error-driven learning using local activation differences: The generalized recirculation algorithm
    Neural Computation, Vol. 8, No. 5. (1996), pp. 895-938.
    by Randall C O'Reilly
    posted to learning neural-networks phd by kira on 2007-08-11 16:19:35 as *** along with 3 people and 1 group Whyking mura cijat Computational-Neurobiology
  • Perspectives and problems in motor learning.
    Trends in Cognitive Sciences, Vol. 5, No. 11. (1 November 2001), pp. 487-494.
    by Daniel M Wolpert, Zoubin Ghahramani, Randall J Flanagan
    posted to embodiment learning motor-imagery perception phd by kira on 2007-08-06 14:41:54 as read along with 2 people bhamcnil MichaelGaebler
  • Uncertainty and learning
    IETE Journal of Research, Vol. 49 (2003), pp. 171-182.
    by P Dayan, AJ Yu
    posted to attention learning phd by kira on 2007-07-02 13:16:01 as read
  • A common framework for perceptual learning
    Current Opinion in Neurobiology, Vol. 17, No. 2. (April 2007), pp. 148-153.
    by Aaron R Seitz, Hubert R Dinse
    posted to attention learning phd by kira on 2007-07-01 18:55:28 as read
  • A unified model for perceptual learning
    Trends in Cognitive Sciences, Vol. 9, No. 7. (July 2005), pp. 329-334.
    by Aaron Seitz, Takeo Watanabe
    posted to attention learning by kira on 2007-07-01 12:32:48 as read along with 5 people and 2 groups brian garyfeng kechambers sbarthelme mdruker ReadingLab ur-cls
  • Associationism and cognition: Human contingency learning at 25
    The Quarterly Journal of Experimental Psychology, Vol. 60, No. 3. (March 2007), pp. 291-309.
    by David R Shanks
    posted to associative learning phd by kira on 2007-06-18 14:54:54 as **
  • Stimulus generalization in two associative learning processes
    Journal of Experimental Psychology - Learning, Memory and Cognition, Vol. 30, No. 3. (May 2004), pp. 626-638.
    by SMJ van Osselaer, C Janiszewski, M Cunha
    posted to associative attention generalisation learning phd by kira on 2007-06-11 14:18:15 as **
  • Inattentional blindness for negative relationships in human causal learning
    Quarterly Journal of Experimental Psychology, Vol. 59, No. 3. (March 2006), pp. 457-470.
    by A Maldonado, G Jimenez, A Herrera
    posted to associative attention learning phd by kira on 2007-06-11 14:18:15 as **
  • Learned associability and associative change in human causal learning
    Quarterly Journal of Experimental Psychology Section B - Comparative and Physiological Psychology, Vol. 56, No. 1. (February 2003), pp. 68-79.
    by ME Le Pelley, IPL Mclaren
    posted to associative attention learning phd by kira on 2007-06-11 14:18:15 as **
  • Eye gaze and individual differences consistent with learned attention in associative blocking and highlighting
    Journal of Experimental Psychology - Learning, Memory and Cognition, Vol. 31, No. 5. (September 2005), pp. 830-845.
    by JK Kruschke, ES Kappenman, WP Hetrick
    posted to associative attention learning phd by kira on 2007-06-11 14:18:15 as **
  • Attention in learning
    Current Directions in Psychological Science, Vol. 12, No. 5. (October 2003), pp. 171-175.
    by JK Kruschke
    posted to associative attention learning phd by kira on 2007-06-11 14:18:15 as **
  • Toward a unified model of attention in associative learning
    Journal of Mathematical Psychology, Vol. 45, No. 6. (December 2001), pp. 812-863.
    by JK Kruschke
    posted to associative attention learning phd by kira on 2007-06-11 14:18:15 as **
  • Predictive Learning, Prediction Errors, and Attention: Evidence from Event-related Potentials and Eye Tracking
    Journal of Cognitive Neuroscience, Vol. 19, No. 5. (1 May 2007), pp. 843-854.
    by AJ Wills, A Lavric, GS Croft, TL Hodgson
    posted to attention learning phd by kira on 2007-06-11 13:49:51 as ** along with 3 people and 2 groups oamg shivakmr zhihui42 Glimcher_Lab VisionLab
  • Behavior-Grounded Representation of Tool Affordances
    (2005)
    by A Stoytchev
    posted to affordance learning phd representation robots by kira on 2007-06-05 15:36:58 as **
  • A class of instantaneously trained neural networks
    Information Sciences, Vol. 148, No. 1-4. (December 2002), pp. 97-102.
    by Subhash Kak
    posted to learning neural-networks by kira on 2007-05-04 17:07:55 as **
  • Modeling Recognition Memory Using the Similarity Structure of Natural Input
    Cognitive Science, Vol. 30, No. 1. (2006), pp. 121-135.
    by Joyca PW Lacroix, Jaap MJ Murre, Eric O Postma, Jaap H van den Herik
    posted to learning memory phd representation by kira on 2007-05-04 11:19:20 as ** along with 1 person and 1 group rsekuler VisionLab
  • Towards autonomous sensor and actuator model induction on a mobile robot
    Connection Science, Vol. 18, No. 2. (June 2006), pp. 97-119.
    by Daniel Stronger, Peter Stone
    posted to learning phd robots by kira on 2007-04-19 14:45:11 as **
  • Early integration of vision and manipulation
    Adaptive Behavior, Vol. 11, No. 2. (June 2003), pp. 109-128.
    by Giorgio Metta, Paul Fitzpatrick
    posted to affordance learning phd robots by kira on 2007-04-19 14:25:11 as ** along with 2 people Cavadini lizardspseudonyms
  • Bringing up robot: Fundamental mechanisms for creating a self-motivated, self-organizing architecture
    Cybernetics and Systems, Vol. 36, No. 2. (March 2005), pp. 125-150.
    by Douglas Blank, Deepak Kumar, Lisa Meeden, James B Marshall
    posted to learning phd robots srn by kira on 2007-04-19 11:46:49 as **
  • Bootstrap learning for object discovery
    Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on, Vol. 1 (2004), pp. 742-747 vol.1.
    by Joseph Modayil, Benjamin J Kuipers
    posted to affordance learning phd by kira on 2007-04-17 15:25:35 as **
  • Constructivist Neural Network Models of Cognitive Development
    (2000)
    by G Westermann
    posted to learning neural-networks phd by kira on 2007-04-16 16:37:41 as **
  • The constructivist brain
    Trends in Cognitive Sciences, Vol. 3, No. 2. (February 1999), pp. 48-57.
    by SR Quartz
    posted to learning neural-networks phd by kira on 2007-04-16 16:23:10 as **
  • Why There Are Complementary Learning Systems in the Hippocampus and Neocortex: Insights From the Successes and Failures of Connectionist Models of Learning and Memory
    Psychological Review, Vol. 102, No. 3. (1995), pp. 419-457.
    by JL Mcclelland, BL Mcnaughton, RC O'Reilly
    posted to hippocampus learning memory phd by kira on 2007-04-16 16:19:33 as **
  • Methods for reducing interference in the Complementary Learning Systems model: Oscillating inhibition and autonomous memory rehearsal
    Neural Networks, Vol. 18, No. 9. (November 2005), pp. 1212-1228.
    by KA Norman, EL Newman, AJ Perotte
    posted to learning memory phd by kira on 2007-04-16 12:13:11 as **
  • Learning distributed representations of concepts using linear relational embedding
    Knowledge and Data Engineering, IEEE Transactions on, Vol. 13, No. 2. (2001), pp. 232-244.
    by A Paccanaro, GE Hinton
    posted to concepts learning phd representation by kira on 2007-04-16 11:40:38 as ** along with 1 person zheaton
  • Generalization in interactive networks: the benefits of inhibitory competition and Hebbian learning.
    Neural Computation, Vol. 13, No. 6. (June 2001), pp. 1199-1241.
    by RC O'Reilly
    posted to hebbian learning neural-networks phd by kira on 2007-04-16 11:38:46 as ** along with 2 people mura kapfelba
  • Six principles for biologically based computational models of cortical cognition
    Trends in Cognitive Sciences, Vol. 2, No. 11. (November 1998), pp. 455-462.
    by RC O'Reilly
    posted to hebbian learning neural-networks phd by kira on 2007-04-16 11:37:17 as **
  • Category learning through multimodality sensing
    Neural Computation, Vol. 10 (1998), pp. 1097-1117.
    by Virginia R de Sa, Dana H Ballard
    posted to categorisation learning neural-networks phd by kira on 2007-04-16 11:34:44 as **
  • Neuroconstructivism
    Developmental Science, Vol. 10, No. 1. (January 2007), pp. 75-83.
    by G Westermann, D Mareschal, MH Johnson, S Sirois, MW Spratling, MSC Thomas
    posted to development learning neural-networks phd by kira on 2007-04-10 13:31:50 as **
  • Modeling developmental cognitive neuroscience
    Trends in Cognitive Sciences, Vol. 10, No. 5. (May 2006)
    by G Westermann, S Sirois, TR Shultz, D Mareschal
    posted to learning memory neural-networks phd by kira on 2007-04-10 13:27:16 as **
  • Connectionist models of cognitive development: where next?
    Trends in Cognitive Sciences, Vol. 9, No. 3. (March 2005), pp. 111-117.
    by JL Elman
    posted to learning memory neural-networks phd by kira on 2007-04-10 13:23:23 as **
  • Learning and development in neural networks: the importance of starting small
    Cognition, Vol. 48 (1993), pp. 71-99.
    by JL Elman
    posted to learning memory neural-networks phd by kira on 2007-04-10 13:21:23 as **
    • Bemerkung: Sie können diese Seite wie folgt zitieren: http://www.citeulike.org/user/kira/tag/learning

    Result page: 1 2 Next RIS BibTeX
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.