kira's library [244 articles]

Recent papers added to kira's library.

	ARMAR-III: A humanoid platform for Perception-Action Integration. [My Copy] In 2nd International Workshop on Human-Centered Robotic Systems (HCRS’06) (2006) by T. Asfour, K. Regenstein, P. Azad, J. Schröde, R. Dillmann posted to robots phd perception action by kira on 2009-06-23 10:50:28 as
	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 phd partially-observable learning action-planning by kira on 2009-06-19 13:31:19 as
	Rule extraction from linear support vector machines [My Copy] In KDD '05: Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining (2005), pp. 32-40. by Glenn Fung, Sathyakama Sandilya, Bharat R. Rao posted to svm rule-extraction phd by kira on 2009-06-11 13:43:31 as
	Encoding and decoding the knowledge of association rules over SVM classification trees [My Copy] Knowledge and Information Systems, Vol. 19, No. 1. (1 April 2009), pp. 79-105. by Shaoning Pang, Nikola Kasabov posted to svm rule-extraction phd by kira on 2009-06-08 11:04:02 as
	Computational intelligence methods for rule-based data understanding [My Copy] Proceedings of the IEEE, Vol. 92, No. 5. (2004), pp. 771-805. by W. Duch, R. Setiono, J. M. Zurada posted to rule-extraction phd by kira on 2009-06-08 10:51:25 as along with 1 person Ridz
	Symbolic Interpretation of Artificial Neural Networks [My Copy] IEEE Trans. on Knowl. and Data Eng., Vol. 11, No. 3. (1999), pp. 448-463. by Ismail A. Taha, Joydeep Ghosh posted to rule-extraction phd neural-networks by kira on 2009-06-08 10:42:25 as
	Extracting M-of-N rules from trained neural networks [My Copy] Neural Networks, IEEE Transactions on In Neural Networks, IEEE Transactions on, Vol. 11, No. 2. (2000), pp. 512-519. by R. Setiono posted to rule-extraction phd neural-networks by kira on 2009-06-08 10:27:15 as
	An unsupervised dual-network connectionist model of rule emergence in category learning. [My Copy] In Proceedings of the Second European Cognitive Science Conference, 2007. (2007) by Rosemary A. Cowell, Robert M. French posted to rules rule-extraction phd neural-networks categorisation by kira on 2009-06-08 10:10:42 as
	PDDL - The Planning Domain Definition Language [My Copy] (1998) by Drew Mcdermott, Malik Ghallab, Adele Howe, et al.Craig Knoblock, Ashwin Ram, Manuela Veloso, Daniel Weld, David Wilkins posted to planning pddl by kira on 2009-06-05 15:34:31 as along with 2 people sjgaller cyph3r
	A training algorithm for optimal margin classifiers [My Copy] In COLT '92: Proceedings of the fifth annual workshop on Computational learning theory (1992), pp. 144-152. by Bernhard E. Boser, Isabelle M. Guyon, Vladimir N. Vapnik posted to svm by kira on 2009-06-05 14:17:07 as along with 12 people and 1 group awg2 moonykily fiacobelli sohanz srp33 grzegorz chad_davis zoop xiaoyan2006 baldigroup iggykay schulz VT_DLRL
	The initial development of object knowledge by a learning robot [My Copy] Robot. Auton. Syst., Vol. 56, No. 11. (2008), pp. 879-890. by Joseph Modayil, Benjamin Kuipers posted to robots phd learning affordance 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 phd learning action 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 phd learning action by kira on 2009-05-29 10:36:19 as
	Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks [My Copy] Hybrid Neural Systems (2000), pp. 226-239. by Alan Tickle, Frederic Maire, Guido Bologna, Robert Andrews, Joachim Diederich posted to rule-extraction phd neural-networks by kira on 2009-05-28 13:03:32 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 phd partially-observable learning action by kira on 2009-05-25 13:56:29 as
	Acquiring linguistic argument structure from multimodal input using attentive focus [My Copy] Development and Learning, 2008. ICDL 2008. 7th IEEE International Conference on In Development and Learning, 2008. ICDL 2008. 7th IEEE International Conference on (2008), pp. 43-48. by G. Satish, Amitabha Mukerjee posted to phd language attention action by kira on 2009-05-18 09:21:30 as
	Learning Action Models for Reactive Autonomous Agents [My Copy] (1996) by Scott S. Benson posted to phd deixis action-planning by kira on 2009-05-15 14:48:49 as
	Deictic Option Schemas [My Copy] In IJCAI (2007), pp. 1023-1028. by Balaraman Ravindran, Andrew G. Barto, Vimal Mathew edited by Manuela M. Veloso, Manuela M. Veloso posted to phd deixis by kira on 2009-05-04 15:28:50 as along with 1 person pwais
	Deictic codes for the embodiment of cognition (with commentary) [My Copy] Behavioral and Brain Sciences, Vol. 20, No. 4. (December 1997) by D. H. Ballard, M. M. Hayhoe, P. K. Pook, R. P. Rao posted to phd embodiment deixis by kira on 2009-03-04 09:12:00 as along with 6 people and 1 group szielke craigtalbert paulclinger bhamcnil Scis0000002 acslab ACS
	The perceptron algorithm versus winnow: linear versus logarithmic mistake bounds when few input variables are relevant [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (December 1997), pp. 325-343. by J. Kivinen posted to winnow perceptron-learning-rule by kira on 2009-02-18 14:11:52 as along with 1 person sirandreus
	Online rule learning via weighted model counting [My Copy] In European Conference on Artificial Intelligence (ECAI) (2008) by Frédéric Coriche posted to phd winnow rules perceptron-learning-rule by kira on 2009-02-18 09:45:40 as
	Efficient Learning of Action Schemas and Web-Service Descriptions [My Copy] In AAAI (2008) by Thomas J. Walsh, Michael L. Littman posted to phd learning action by kira on 2008-12-03 15:05:52 as
	Exploration and planning in a three-level cognitive architecture [My Copy] In Proceedings of the International Conference on Cognitive Systems (CogSys 2008) (2008) by Dirk Kraft, Emre Başeski, Mila Popović, et al.Anna Batog, Anders Kjær-Nielsen, Norbert Krüger, Ronald Petrick, Christopher Geib, Nicolas Pugeault, Mark Steedman, Tamim Asfour, Rüdiger Dillmann, Sinan Kalkan, Florentin Wörgötter, Bernhard Hommel, Renaud Detry, Justus Piater posted to phd by kira on 2008-05-30 10:04:03 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 phd learning svm by kira on 2008-05-29 14:24:02 as along with 7 people roys lbustio iggykay dmd johnkork vlachmore liurh_0614
	Pengi: an implementation of a theory of activity [My Copy] In Proceedings of the Sixth National Conference on Artificial Intelligence (AAAI-87) (1987), pp. 268-272. by Philip E. Agre, David Chapman posted to deixis by kira on 2008-05-26 13:42:01 as
	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
	Using kernel perceptrons to learn action effects for planning [My Copy] In International Conference on Cognitive Systems (CogSys 2008) (April 2008) by Kira Mourão, Ronald P. Petrick, Mark Steedman posted to action-planning kernel-trick perceptron-learning-rule phd prediction by kira on 2008-04-25 09:41:15 as
	Robust Information Extraction with Perceptrons [My Copy] In Proceedings of the NIST 2007 Automatic Content Extraction Workshop (ACE07) (March 2007) by Mihai Surdeanu, Massimiliano Ciaramita posted to perceptron-learning-rule phd by kira on 2008-03-12 13:40:08 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 phd learning perceptron-learning-rule svm 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 phd partially-observable learning action-planning by kira on 2008-02-18 13:03:00 as
	Catching the news: Processing strategies in listening to dialogs as measured by ERPs [My Copy] Behavioral and Brain Functions, Vol. 3 (08 October 2007), 53. by Ulrike Toepel, Ann Pannekamp, Kai Alter posted to cps erps information-structure language msc pitch-accents prosody by kira on 2008-01-15 18:33:37 as
	Influence of Syllabic Lengthening on Semantic Processing in Spoken French: Behavioral and Electrophysiological Evidence [My Copy] Cerebral Cortex, Vol. 17 (November 2007), pp. 2659-2668. by Cyrille Magne, Corine Astésano, Mitsuko Aramaki, Sølvi Ystad, Richard Kronland-Martinet, Mireille Besson posted to erps language msc prosody by kira on 2008-01-15 16:50:18 as
	Theoretical foundations of the potential function method in pattern recognition learning [My Copy] Automation and Remote Control, Vol. 25 (1964), pp. 821-837. by M. A. Aizerman, E. M. Braverman, L. I. Rozoner posted to kernel-trick perceptron-learning-rule phd by kira on 2007-12-14 11:36:08 as along with 5 people and 3 groups moonykily mriba agonzalez schulz isakemalp Pattern-Analysis Bioinformatics EvolutionaryComputation
	Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition [My Copy] In 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 model for brain functioning [My Copy] Reviews of Modern Physics, Vol. 34 (1962), pp. 123-135. by H. Block posted to perceptron-learning-rule by kira on 2007-12-07 15:58:25 as
	On convergence proofs for perceptrons [My Copy] In Proceedings of the Symposium on the Mathematical Theory of Automata, Vol. 12 (1963), pp. 615-622. by Albert B. Novikoff posted to perceptron-learning-rule by kira on 2007-12-07 15:56:34 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 of Boolean functions using support vector machines [My Copy] In Proceedings of the International Conference on Algorithmic Learning Theory, Vol. 2225 (2001), pp. 106-118. by Ken Sadohara posted to kernel-trick perceptron-learning-rule phd by kira on 2007-11-19 10:15:09 as
	Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms [My Copy] Journal of Artificial Intelligence Research, Vol. 24 (2005), pp. 341-356. by Roni Khardon, Dan Roth, Rocco A. Servedio posted to winnow phd perceptron-learning-rule kernel-trick by kira on 2007-11-19 10:01:36 as
	Noise Tolerant Variants of the Perceptron Algorithm [My Copy] Journal of Machine Learning Research, Vol. 8 (2007), pp. 227-248. by Roni Khardon, Gabriel M. Wachman posted to kernel-trick perceptron-learning-rule phd by kira on 2007-11-19 09:50:56 as along with 1 person jelsas
	Syntactic parsing preferences and their on-line revisions: a spatio-temporal analysis of event-related brain potentials [My Copy] Cognitive Brain Research, Vol. 11 (2001), pp. 305-323. by Angela D. Friederici, Axel Mecklinger, Kevin M. Spencer, Karsten Steinhauer, Emanuel Donchin posted to erps language msc by kira on 2007-11-18 16:44:42 as
	Brain potentials during semantic and prosodic processing in French [My Copy] Cognitive Brain Research, Vol. 18, No. 2. (2004), pp. 172-184. by Corine Astésano, Mireille Besson, Kai Alter posted to cps language msc pitch-accents prosody by kira on 2007-11-18 16:12:19 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
	The Neural Basis of Predicate-Argument Structure [My Copy] Behavioral and Brain Sciences, Vol. 23, No. 6. (2003) by James R. Hurford posted to deixis language neural-symbolic representation by kira on 2007-10-11 16:37:06 as

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