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kira learning [61 articles]

Recent papers added to kira library classified by the tag 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 **
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