kira's learning [71 articles] Export

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	Maximum Margin Algorithms with Boolean Kernels [My Copy] Journal of Machine Learning Research, Vol. 6 (2005), pp. 1405-1429. by Roni Khardon, Rocco A. Servedio posted to svm phd learning kernel-trick boolean-kernels by kira on 2009-10-13 11:10:43 as
	Eliminating class noise in large datasets [My Copy] In Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003) (2003) by Xingquan Zhu, Xindong Wu, Qijun Chen posted to rules phd learning classification by kira on 2009-10-12 10:33:07 as
	Learning Model Structures in AI Planning from Partial Observations [My Copy] In International Joint Conference on Artificial Intelligence (IJCAI 09) (2009) by Hankz H. Zhuo, Derek H. Hu, Qiang Yang, Chad Hogg, Hector Munoz-Avila posted to planning phd partially-observable learning action-planning by kira on 2009-10-05 09:16:09 as
	Action experience alters 3-month-old infants' perception of others' actions [My Copy] Cognition, Vol. 96, No. 1. (May 2005), pp. B1-B11. by J. Sommerville, A. Woodward, A. Needham posted to action affordance development learning perception phd by kira on 2009-07-09 10:11:36 as along with 3 people and 1 group garyfeng ly3 daimogu ReadingLab
	Learning action models from plan examples using weighted MAX-SAT [My Copy] Artificial Intelligence, Vol. 171, No. 2-3. (February 2007), pp. 107-143. by Q. Yang, K. Wu, Y. Jiang posted to action-planning learning partially-observable phd by kira on 2009-06-19 13:31:19 as
	The initial development of object knowledge by a learning robot [My Copy] Robotics and Autonomous Systems, Vol. 56, No. 11. (2008), pp. 879-890. by Joseph Modayil, Benjamin Kuipers posted to affordance learning phd robots by kira on 2009-06-05 09:51:35 as
	Learning Predictive State Representations [My Copy] In In The Twentieth International Conference on Machine Learning (ICML-2003) (2003), pp. 712-719. by Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone posted to action learning phd by kira on 2009-05-29 10:55:46 as
	Searching for Planning Operators with Context-Dependent and Probabilistic Effects [My Copy] In In Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI 1996) (1996), pp. 863-868. by Tim Oates, Paul R. Cohen posted to action learning phd by kira on 2009-05-29 10:36:19 as
	Learning Partially Observable Deterministic Action Models [My Copy] Journal of Artificial Intelligence Research, Vol. 33 (2008), pp. 349-402. by Eyal Amir, Allen Chang posted to action learning partially-observable phd by kira on 2009-05-25 13:56:29 as
	Efficient Learning of Action Schemas and Web-Service Descriptions [My Copy] In AAAI (2008) by Thomas J. Walsh, Michael L. Littman posted to action learning phd by kira on 2008-12-03 15:05:52 as
	Making large-scale support vector machine learning practical [My Copy] In Advances in kernel methods: support vector learning (1999), pp. 169-184. by Thorsten Joachims edited by Bernhard Schölkopf, Christopher J. C. Burges, Alexander J. Smola posted to learning svm phd by kira on 2008-05-29 14:24:02 as along with 9 people malibu weiweiguo roys lbustio iggykay dmd johnkork vlachmore liurh_0614
	Learning algorithms with optimal stability in neural networks [My Copy] 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 [My Copy] In Advances in Neural Information Processing Systems (NIPS) 13 (2000), pp. 210-216. by Thore Graepel, Ralf Herbrich, Robert C. Williamson posted to learning perceptron-learning-rule svm phd by kira on 2008-03-12 10:22:16 as
	Learning partially observable action schemas [My Copy] In Proceedings of the National Conference on Artificial Intelligence (AAAI-06) (2006) by D. Shahaf, E. Amir posted to action-planning learning partially-observable phd by kira on 2008-02-18 13:03:00 as
	Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition [My Copy] In Proceedings of the International Conference on Machine Learning (1995), pp. 549-557. by Xuemei Wang posted to action-planning learning by kira on 2007-12-12 15:28:01 as
	Learning by experimentation: incremental refinement of incomplete planning domains [My Copy] 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
	ARMS: Action-related modelling system for learning action models [My Copy] In Proceedings of ICAPS'05 (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 [My Copy] 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 [My Copy] 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
	Learning World Models in Environments with Manifest Causal Structure [My Copy] 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 [My Copy] In Proceedings of the Fifth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS) (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
	Schema Learning: Experience-based Construction of Predictive Action Models [My Copy] In Advances in Neural Information Processing Systems (NIPS) 17 (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
	Rule creation and rule learning through environmental exploration [My Copy] In In Proceedings of the International Joint Conference on Artificial Intelligence (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 [My Copy] 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 8 people matteodefelice vbaudoui dmajka apostola dcastro bbauwens eddymier nkishan
	Considerations arising from a complementary learning systems perspective on hippocampus and neocortex [My Copy] 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 [My Copy] (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 [My Copy] 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 4 people and 1 group tkf Whyking awooga josepe Computational-Neurobiology
	Prefrontal cortex and flexible cognitive control: rules without symbols [My Copy] 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 along with 5 people and 1 group shoshin neilh neural_nets_chapter awooga as3171 S-Lab
	Biologically plausible error-driven learning using local activation differences: The generalized recirculation algorithm [My Copy] 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. [My Copy] 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 along with 3 people MEGfun bhamcnil MichaelGaebler
	Uncertainty and learning [My Copy] IETE Journal of Research, Vol. 49 (2003), pp. 171-182. by P. Dayan, A. J. Yu posted to attention learning phd by kira on 2007-07-02 13:16:01 as
	A common framework for perceptual learning [My Copy] Current Opinion in Neurobiology In Cognitive neuroscience, 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
	A unified model for perceptual learning. [My Copy] 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 along with 7 people and 2 groups jmarkow wangbo brian garyfeng kechambers sbarthelme mdruker ReadingLab ur-cls
	Associationism and cognition: Human contingency learning at 25 [My Copy] 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 [My Copy] Journal of Experimental Psychology - Learning, Memory and Cognition, Vol. 30, No. 3. (May 2004), pp. 626-638. by S. M. J. 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 [My Copy] 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 [My Copy] Quarterly Journal of Experimental Psychology Section B - Comparative and Physiological Psychology, Vol. 56, No. 1. (February 2003), pp. 68-79. by M. E. Le Pelley, I. P. L. 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 [My Copy] Journal of Experimental Psychology - Learning, Memory and Cognition, Vol. 31, No. 5. (September 2005), pp. 830-845. by J. K. Kruschke, E. S. Kappenman, W. P. Hetrick posted to associative attention learning phd by kira on 2007-06-11 14:18:15 as
	Attention in learning [My Copy] Current Directions in Psychological Science, Vol. 12, No. 5. (October 2003), pp. 171-175. by J. K. 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 [My Copy] Journal of Mathematical Psychology, Vol. 45, No. 6. (December 2001), pp. 812-863. by J. K. 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 [My Copy] Journal of Cognitive Neuroscience, Vol. 19, No. 5. (1 May 2007), pp. 843-854. by A. J. Wills, A. Lavric, G. S. Croft, T. L. 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 [My Copy] In Proceedings of IEEE International Conference on Robotics and Automation (ICRA) (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 [My Copy] 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 [My Copy] Cognitive Science, Vol. 30, No. 1. (2006), pp. 121-135. by Joyca P. W. Lacroix, Jaap M. J. 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 [My Copy] 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 [My Copy] 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 [My Copy] 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 [My Copy] Intelligent Robots and Systems, 2004. (IROS 2004). Proceedings. 2004 IEEE/RSJ International Conference on In 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 [My Copy] (2000) by G. Westermann posted to learning neural-networks phd by kira on 2007-04-16 16:37:41 as
	The constructivist brain [My Copy] Trends in Cognitive Sciences, Vol. 3, No. 2. (February 1999), pp. 48-57. by S. R. Quartz posted to learning neural-networks phd by kira on 2007-04-16 16:23:10 as along with 1 person geologist

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phd	171
learning	71
neural-networks	47
action	39
affordance	32
language	29
representation	28
msc	27
attention	23
action-planning	22
perceptron-learning-rule	21
associative	20
motor-imagery	20
prosody	20
robots	20
memory	18
perception	18
erps	15
pitch-accents	15
rule-extraction	13
rules	13
embodiment	12
hippocampus	9
svm	9
information-structure	8
kernel-trick	8
symbol-grounding	7
binding	6
cps	6
deixis	6
interactionist	6
leabra	6
mirror-neurons	6
srn	6
categorisation	5
classification	5
cognitive	5
hebbian	5
hierarchical	5
willshaw-net	5
canonical-neurons	4
concepts	4
ldec	4
neural-symbolic	4
partially-observable	4
boolean-kernels	3
development	3
hmm	3
planning	3
spatial	3
summer-school	3
winnow	3
grasping	2
multiclass	2
neocortex	2
ontologies	2
prediction	2
backprop	1
broca	1
formal-concept-analysis	1
frame-problem	1
generalisation	1
pddl	1

kira's learning [71 articles] Export

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