kira's library 262 articles Export

	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 Kernel Perceptrons on Noisy Data Using Random Projections [My Copy] Algorithmic Learning Theory (2007), pp. 328-342. by Guillaume Stempfel, Liva Ralaivola posted to phd perceptron-learning-rule kernel-trick by kira on 2009-10-05 13:02:40 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
	Improving the classification performance of boolean kernels by applying Occam's razor [My Copy] In 2nd International Conference on Computational Intelligence, Robotics and Autonomous Systems (CIRAS '03) (2003) by Yang Zhang, Zhanhuai Li, Muning Kang, JianFeng Yan posted to svm rule-extraction phd by kira on 2009-09-25 15:39:46 as
	DRC-BK: Mining Classification Rules by Using Boolean Kernels [My Copy] Computational Science and Its Applications – ICCSA 2005 (2005), pp. 214-222. by Yang Zhang, Zhanhuai Li, Kebin Cui posted to svm rule-extraction phd by kira on 2009-09-25 11:51:35 as
	Rule Extraction from Support Vector Machines: A Sequential Covering Approach [My Copy] IEEE Transactions on Knowledge and Data Engineering In Knowledge and Data Engineering, IEEE Transactions on, Vol. 19, No. 6. (2007), pp. 729-741. by Nahla H. Barakat, Andrew P. Bradley posted to svm rule-extraction phd by kira on 2009-09-25 11:38:08 as along with 1 person daniel51
	Blocks World revisited [My Copy] Artificial Intelligence, Vol. 125, No. 1-2. (2001), pp. 119-153. by John Slaney, Sylvie Thiébaux posted to phd planning by kira on 2009-08-03 13:55:21 as
	Embodied language: a review of the role of the motor system in language comprehension. [My Copy] Quarterly journal of experimental psychology (2006), Vol. 61, No. 6. (June 2008), pp. 825-850. by Martin H. Fischer, Rolf A. Zwaan posted to action affordance embodiment language mirror-neurons motor-imagery phd by kira on 2009-07-22 11:34:21 as along with 5 people vankov jodies hukkinen agcs briordan
	Grounding attention in action control: The intentional control of selection [My Copy] In Effortless attention: A new perspective in the cognitive science of attention and action (in press) by B. Hommel edited by B. J. Bruya posted to action action-planning attention phd by kira on 2009-07-21 12:23:32 as
	Context effects on the Processing of Action-Relevant Object Features [My Copy] Journal of Experimental Psychology: Human Perception and Performance (in press) by G. Girardi, O. Lindemann, H. Bekkering posted to action affordance attention phd by kira on 2009-07-21 10:53:45 as
	Voted Spheres: An Online, Fast Approach to Large Scale Learning [My Copy] Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on In Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on (2009), pp. 744-749. by Bassam Farran, Craig Saunders posted to classification phd by kira on 2009-07-14 11:18:47 as
	Mental simulation of action in the service of action perception. [My Copy] Journal of Neuroscience, Vol. 27, No. 46. (14 November 2007), pp. 12675-12683. by V. Raos, M. N. Evangeliou, H. E. Savaki posted to action mirror-neurons motor-imagery perception phd by kira on 2009-07-13 14:01:27 as along with 1 person dandright
	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 to suppress task-irrelevant visual stimuli with attention. [My Copy] Vision Res, Vol. 45, No. 6. (March 2005), pp. 677-685. by Z. Vidnyánszky, W. Sohn posted to attention phd by kira on 2009-07-08 10:46:16 as along with 3 people and 1 group Scis0000002 wangbo rsekuler VisionLab
	Learning to Attend — From Bottom-Up to Top-Down [My Copy] Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint (2008), pp. 106-122. by Hector Jasso, Jochen Triesch posted to attention phd by kira on 2009-07-08 10:44:53 as along with 1 person Scis0000002
	Task and context determine where you look [My Copy] Journal of Vision, Vol. 7, No. 14. (2007), pp. 1-20. by Constantin A. Rothkopf, Dana H. Ballard, Mary M. Hayhoe posted to action attention phd by kira on 2009-07-07 14:55:34 as
	Detection by action: neuropsychological evidence for action-defined templates in search [My Copy] Nature Neuroscience, Vol. 4, No. 1. (January 2001), pp. 84-88. by Glyn W. Humphreys, M. Jane Riddoch posted to action affordance phd by kira on 2009-07-07 11:50:57 as
	Toward an integrated account of object and action selection: A computational analysis and empirical findings from reaching-to-grasp and tool-use [My Copy] Neuropsychologia, Vol. 47, No. 3. (February 2009), pp. 671-683. by Matthew M. Botvinick, Laurel J. Buxbaum, Lauren M. Bylsma, Steven A. Jax posted to action affordance perception phd by kira on 2009-07-07 11:49:41 as
	Learning Object Affordances: From Sensory--Motor Coordination to Imitation [My Copy] Robotics, IEEE Transactions on [see also Robotics and Automation, IEEE Transactions on] In Robotics, IEEE Transactions on [see also Robotics and Automation, IEEE Transactions on], Vol. 24, No. 1. (2008), pp. 15-26. by L. Montesano, M. Lopes, A. Bernardino, J. Santos-Victor posted to affordance phd robots by kira on 2009-07-07 10:58:36 as along with 3 people khuebner rockelegancy stober
	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 action perception phd robots 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 action-planning learning partially-observable phd 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 phd rule-extraction svm 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 phd rule-extraction svm 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 phd rule-extraction 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 neural-networks phd rule-extraction 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 neural-networks phd rule-extraction 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 categorisation neural-networks phd rule-extraction rules 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 pddl planning 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 13 people and 1 group thefillm 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] 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
	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 neural-networks phd rule-extraction 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 action learning partially-observable phd 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 action attention language phd 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 action-planning deixis phd 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 deixis phd 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 deixis embodiment phd 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 perceptron-learning-rule winnow 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 perceptron-learning-rule rules winnow phd 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 action learning phd 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 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
	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 along with 1 person tkollar
	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 Proceedings of the International Conference on Cognitive Systems (CogSys 2008) (April 2008) by Kira Mourão, Ronald P. A. 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 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

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phd	170
learning	71
neural-networks	47
action	39
affordance	32
language	29
representation	28
msc	27
attention	23
action-planning	22
associative	20
motor-imagery	20
perceptron-learning-rule	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

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