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	Gaussian Processes for Regression [My Copy] In Advances in Neural Information Processing Systems 8, Vol. 8 (1996), pp. 514-520. by C. Williams, C. Rasmussen posted to lwpr learning gaussian_processes by Cavadini on 2009-11-04 11:21:08 as along with 3 people pjcite ajbattle DavidSchulz
	Supervised Dimension Reduction of Intrinsically Low-Dimensional Data [My Copy] Neural Computation, Vol. 14, No. 1. (1 January 2002), pp. 191-215. by N. Vlassis, Y. Motomura, B. Kröse posted to lwpr learning dimension_reduction by Cavadini on 2009-11-04 11:19:17 as along with 1 person sdvillal
	Local Adaptive Subspace Regression [My Copy] Neural Processing Letters, Vol. 7, No. 3. (1 June 1998), pp. 139-149. by S. Vijayakumar, S. Schaal posted to lwpr learning by Cavadini on 2009-11-04 11:17:07 as
	RKHS-based functional analysis for exact incremental learning [My Copy] Neurocomputing (November 1999), pp. 85-113. by S. Vijayakumar, H. Ogawa posted to lwpr learning incremental by Cavadini on 2009-11-04 11:15:34 as
	SMEM Algorithm for Mixture Models [My Copy] Neural Computation, Vol. 12, No. 9. (1 September 2000), pp. 2109-2128. by N. Ueda, R. Nakano, Z. Ghahramani, G. Hinton posted to lwpr learning by Cavadini on 2009-11-04 11:12:13 as
	A Global Geometric Framework for Nonlinear Dimensionality Reduction [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323. by J. Tenenbaum, V. Silva, J. Langford posted to lwpr learning dimensionality_reduction by Cavadini on 2009-11-04 11:09:48 as along with 30 people and 4 groups pingmei seb1 akuhn banus caicai klmoravec weiweiguo rramirezp babakap dcoates thefillm christofseiler qwermish egozi aufrank k12u yas metamerist yama_tah tag mthomure sdvillal dgront voiklis dwf DavidSchulz teesid jung_dalglish mctor matjes ur-cls T_lab metric_embeddings ColDyn
	A tutorial on support vector regression [My Copy] Statistics and Computing, Vol. 14, No. 3. (1 August 2004), pp. 199-222. by A. Smola, B. Schölkopf posted to lwpr learning by Cavadini on 2009-11-04 11:04:24 as along with 7 people xuzhe83 liefengbo vbaudoui timg dcastro jccaicedo caramanis
	Constructive Incremental Learning from Only Local Information [My Copy] Neural Computation, Vol. 10, No. 8. (1 November 1998), pp. 2047-2084. by S. Schaal, C. Atkeson posted to lwpr learning by Cavadini on 2009-11-04 10:55:32 as
	Nonlinear Dimensionality Reduction by Locally Linear Embedding [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2323-2326. by Sam T. Roweis, Lawrence K. Saul posted to lwpr learning dimensionality_reduction by Cavadini on 2009-11-04 10:53:27 as along with 35 people and 4 groups pingmei akuhn singhsh caicai tfx klmoravec jzujovic rramirezp Scis0000002 ajbattle shpigi thefillm jtbassic babakap qwermish briordan weiweiguo egozi yaroslavvb gangli yas yama_tah filippone tag sdvillal dgront walkking jguinney kenji4569 DavidSchulz mdramirez mctor amargoli matjes eddymier tulip T_lab metric_embeddings Computer_Graphics
	Generalized Additive Models [My Copy] Statistical Science, Vol. 1, No. 3. (1986), pp. 297-310. by T. Hastie, R. Tibshirani posted to lwpr learning by Cavadini on 2009-11-04 10:50:58 as along with 1 person brian
	Local Regression: Automatic Kernel Carpentry [My Copy] Statistical Science, Vol. 8, No. 2. (1993), pp. 120-129. by T. Hastie, C. Loader posted to lwpr learning by Cavadini on 2009-11-04 10:48:51 as
	Variational inference for Bayesian mixtures of factor analysers [My Copy] In In Advances in Neural Information Processing Systems 12, Vol. 12 (2000), pp. 449-455. by Z. Ghahramani, M. Beal posted to lwpr learning by Cavadini on 2009-11-04 10:46:40 as
	Projection Pursuit Regression [My Copy] Journal of the American Statistical Association, Vol. 76, No. 376. (1981), pp. 817-823. by J. Friedman, W. Stuetzle posted to lwpr learning by Cavadini on 2009-11-04 10:44:14 as along with 2 people brian mmunson
	The cascade-correlation learning architecture [My Copy] (1990), pp. 524-532. by S. Fahlman, C. Lebiere posted to lwpr learning by Cavadini on 2009-11-04 10:42:15 as
	Locally Weighted Learning [My Copy] Artificial Intelligence Review, Vol. 11, No. 1. (1 February 1997), pp. 11-73. by C. Atkeson, A. Moore, S. Schaal posted to lwpr learning by Cavadini on 2009-11-04 10:39:19 as along with 3 people sdvillal mdifranc elvinado
	Reinforcement Learning: An Introduction [My Copy] (1998) by Richard S. Sutton, Andrew G. Barto edited by M. I. T. Press posted to reinforcement learning by Cavadini on 2009-11-03 13:41:38 as
	Incremental nonlinear dimensionality reduction by manifold learning. [My Copy] IEEE Trans Pattern Anal Mach Intell, Vol. 28, No. 3. (March 2006), pp. 377-391. by M. H. Law, A. K. Jain posted to incremental learning nonlinear reduction by Cavadini on 2008-09-30 09:31:43 as
	Grasp Motion Synthesis Based on Object Features [My Copy] Articulated Motion and Deformable Objects (2006), pp. 305-314. by Yoshihiro Yasumuro, Masayuki Yamazaki, Masataka Imura, Yoshitsugu Manabe, Kunihiro Chihara posted to grasping learning by Cavadini on 2008-06-09 14:22:43 as along with 1 person ElQuijote42
	A biocybernetic method to learn hand grasping posture [My Copy] Kybernetes: The International Journal of Systems & Cybernetics (2003), pp. 478-490. by N. Rezzoug, P. Gorce posted to grasping learning neural_network by Cavadini on 2008-05-23 08:34:04 as
	Efficient reinforcement learning: computational theories, neuroscience and robotics. [My Copy] Current opinion in neurobiology, Vol. 17, No. 2. (April 2007), pp. 205-212. by M. Kawato, K. Samejima posted to learning reinforcement by Cavadini on 2008-05-16 11:56:38 as
	Hybrid learning control techniques for the manipulation of rigid objects [My Copy] Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on In Robotics and Automation, 1993. Proceedings., 1993 IEEE International Conference on (1993), pp. 672-677 vol.1. by M. Aicardi, G. Cannata, G. Casalino posted to hybrid learning manipulation by Cavadini on 2008-05-09 14:04:08 as
	Learning about objects through action - initial steps towards artificial cognition [My Copy] Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on In Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on, Vol. 3 (2003), pp. 3140-3145 vol.3. by P. Fitzpatrick, G. Metta, L. Natale, S. Rao, G. Sandini posted to learning object pushing by Cavadini on 2008-02-25 08:14:38 as
	Empirical Studies in Action Selection with Reinforcement Learning [My Copy] Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, Vol. 15, No. 1. (March 2007), pp. 33-50. by Shimon Whiteson, Matthew E. Taylor, Peter Stone posted to action_selection evolutionary learning reinforcement by Cavadini on 2008-02-11 07:08:49 as
	Analyzing feature generation for value-function approximation [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 737-744. by Ronald Parr, Christopher Painter-Wakefield, Lihong Li, Michael Littman posted to feaure_selection learning reinforcement by Cavadini on 2008-01-23 10:23:58 as
	Feature Selection by Combining Fisher Criterion and Principal Feature Analysis [My Copy] Machine Learning and Cybernetics, 2007 International Conference on In Machine Learning and Cybernetics, 2007 International Conference on, Vol. 2 (2007), pp. 1149-1154. by Sa Wang, Cheng-Lin Liu, Lian Zheng posted to feaure_selection learning reinforcement by Cavadini on 2008-01-23 10:20:11 as
	Towards Feature Selection In Actor-Critic Algorithms [My Copy] (November 2007) by Khashayar Rohanimanesh, Nicholas Roy, Russ Tedrake posted to feaure_selection learning reinforcement by Cavadini on 2008-01-23 10:10:06 as
	Single-pass online learning: performance, voting schemes and online feature selection [My Copy] In KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006), pp. 548-553. by Vitor R. Carvalho, William W. Cohen posted to learning online by Cavadini on 2008-01-17 08:47:47 as along with 1 person sirandreus
	FITSK: online local learning with generic fuzzy input Takagi-Sugeno-Kang fuzzy framework for nonlinear system estimation [My Copy] Systems, Man, and Cybernetics, Part B, IEEE Transactions on In Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 36, No. 1. (2006), pp. 166-178. by Kian H. Quah, Chai Quek posted to fuzzy learning neural_network online by Cavadini on 2008-01-17 08:45:46 as
	Very Fast Online Learning of Highly Non Linear Problems [My Copy] J. Mach. Learn. Res., Vol. 8 (2007), pp. 2017-2045. by Aggelos Chariatis posted to learning neural_network online by Cavadini on 2008-01-17 08:36:23 as
	Hyper-cubic discretization for TD learning based on autonomous decentralized approach [My Copy] Systems, Man and Cybernetics, 2003. IEEE International Conference on In Systems, Man and Cybernetics, 2003. IEEE International Conference on, Vol. 4 (2003), pp. 3633-3638 vol.4. by Y. Kobayashi, S. Hosoe posted to function_approximation learning reinforcement by Cavadini on 2008-01-15 09:43:41 as
	Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs [My Copy] Machine Learning: ECML 2007 (2007), pp. 250-261. by Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass posted to learning model-based reinforcement by Cavadini on 2008-01-14 14:08:00 as
	Reinforcement Learning State Estimator [My Copy] Neural Comput., Vol. 19, No. 3. (March 2007), pp. 730-756. by Jun Morimoto, Kenji Doya posted to learning reinforcement state_estimation by Cavadini on 2008-01-14 14:06:13 as
	Fast Reinforcement Learning for Vision-guided Mobile Robots [My Copy] Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on In Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on (2005), pp. 4170-4175. by T. Martinez-Marin, T. Duckett posted to learning model-based reinforcement by Cavadini on 2008-01-14 13:53:39 as along with 1 person AlainDutech
	Improving reinforcement learning with context detection [My Copy] In AAMAS '06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006), pp. 810-812. by Bruno C. da Silva, Eduardo W. Basso, Filipo S. Perotto, Ana L. C. Bazzan, Paulo M. Engel posted to context learning model-based reinforcement by Cavadini on 2008-01-14 13:50:35 as
	Graph kernels and Gaussian processes for relational reinforcement learning [My Copy] Machine Learning, Vol. 64, No. 1. (2006), pp. 91-119. by Kurt Driessens, Jan Ramon, Thomas Gärtner posted to learning reinforcement relational by Cavadini on 2008-01-14 09:31:24 as
	A Neuro-Fuzzy Inference System Through Integration of Fuzzy Logic and Extreme Learning Machines [My Copy] Systems, Man, and Cybernetics, Part B, IEEE Transactions on In Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 37, No. 5. (2007), pp. 1321-1331. by Zhan-Li Sun, Kin-Fan Au, Tsan-Ming Choi posted to fuzzy learning reinforcement by Cavadini on 2008-01-11 14:48:23 as
	A Novel Q-Learning Approach with Continuous States and Actions [My Copy] Intelligent Control, 2007. ISIC 2007. IEEE 22nd International Symposium on In Intelligent Control, 2007. ISIC 2007. IEEE 22nd International Symposium on (2007), pp. 18-23. by Yi Zhou, Meng J. Er posted to fuzzy learning reinforcement by Cavadini on 2008-01-11 14:45:14 as
	Fuzzy Q-learning with the modified fuzzy ART neural network [My Copy] Intelligent Agent Technology, IEEE/WIC/ACM International Conference on In Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2005), pp. 308-315. by H. Ueda, N. Hanada, H. Kimoto, T. Naraki, K. Takahashi, T. Miyahara posted to fuzzy learning reinforcement by Cavadini on 2008-01-11 14:38:28 as
	A fuzzy Actor-Critic reinforcement learning network [My Copy] Information Sciences, Vol. 177, No. 18. (15 September 2007), pp. 3764-3781. by Xue-Song Wang, Yu-Hu Cheng, Jian-Qiang Yi posted to actor-critic fuzzy learning reinforcement by Cavadini on 2008-01-11 08:50:07 as
	Online Reinforcement Learning Neural Network Controller Design for Nanomanipulation [My Copy] Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on In Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on (2007), pp. 225-232. by Qinmin Yang, S. Jagannathan posted to learning lyapunov neural_network reinforcement by Cavadini on 2008-01-11 08:45:47 as
	Neural Reinforcement Learning Controllers for a Real Robot Application [My Copy] Robotics and Automation, 2007 IEEE International Conference on In Robotics and Automation, 2007 IEEE International Conference on (2007), pp. 2098-2103. by R. Hafner, M. Riedmiller posted to learning neural_network reinforcement by Cavadini on 2008-01-11 08:41:54 as
	A Novel Neural Network Based Reinforcement Learning [My Copy] Bio-Inspired Computational Intelligence and Applications (2007), pp. 46-54. by Jian Fan, Yang Song, Minrui Fei, Qijie Zhao posted to continuous_space learning neural_network reinforcement by Cavadini on 2008-01-11 08:38:03 as
	Morphological computation for adaptive behavior and cognition [My Copy] International Congress Series In Brain-Inspired IT II: Decision and Behavioral Choice Organized by Natural and Artificial Brains. Invited and selected papers of the 2nd International Conference on Brain-inspired Information Technology held in Hibikino, Kitakyushu, Japan between 7 and 9 October 2005, Vol. 1291 (June 2006), pp. 22-29. by Rolf Pfeifer, Fumiya Iida, Gabriel Gomez posted to developmental grasping learning manipulation by Cavadini on 2008-01-09 07:56:55 as
	Information Self-Structuring: Key Principle for Learning and Development [My Copy] Development and Learning, 2005. Proceedings. The 4th International Conference on In Development and Learning, 2005. Proceedings. The 4th International Conference on (2005), pp. 25-30. by M. Lungarella, O. Sporns posted to developmental information learning self_structuring statistical by Cavadini on 2008-01-07 13:24:43 as along with 1 person lilith
	Learning to bounce: first lessons from a bouncing robot [My Copy] (2003) by M. Lungarella, L. Berthouze posted to developmental learning self-exploration by Cavadini on 2008-01-07 12:27:08 as along with 1 person ashko
	Construction of Robot Intra-modal and Inter-modal Coordination Skills by Developmental Learning [My Copy] Journal of Intelligent and Robotic Systems, Vol. 48, No. 1. (January 2007), pp. 97-114. by Meng, Q., Lee, M. posted to learning manipulator rbf skill by Cavadini on 2007-12-10 10:57:35 as
	Extend Single-agent Reinforcement Learning Approach to a Multi-robot Cooperative Task in an Unknown Dynamic Environment [My Copy] Neural Networks, 2006. IJCNN '06. International Joint Conference on In Neural Networks, 2006. IJCNN '06. International Joint Conference on (2006), pp. 4999-5005. by Ying Wang, C. W. de Silva posted to dynamic_environment learning multi_agent reinforcement by Cavadini on 2007-10-04 12:09:53 as
	Self Organizing Decision Tree Based on Reinforcement Learning and its Application on State Space Partition [My Copy] Systems, Man and Cybernetics, 2006. ICSMC '06. IEEE International Conference on In Systems, Man and Cybernetics, 2006. ICSMC '06. IEEE International Conference on, Vol. 6 (2006), pp. 5088-5093. by Kao-Shing Hwang, Tsung-Wen Yang, Chia-Ju Lin posted to continuous_space learning reinforcement tree_based by Cavadini on 2007-10-03 15:04:01 as
	State Space Partition for Reinforcement Learning Based on Fuzzy Min-Max Neural Network [My Copy] Advances in Neural Networks – ISNN 2007 (2007), pp. 160-169. by Yong Duan, Baoxia Cui, Xinhe Xu posted to abstraction continuous_space fuzzy learning neural_network by Cavadini on 2007-10-03 15:02:03 as
	Reinforcement Learning in Continuous Action Spaces [My Copy] Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on In Approximate Dynamic Programming and Reinforcement Learning, 2007. ADPRL 2007. IEEE International Symposium on (2007), pp. 272-279. by H. van Hasselt, M. A. Wiering posted to continuous_action learning reinforcement by Cavadini on 2007-10-03 09:22:50 as along with 1 person stober

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learning	75
grasping	45
reinforcement	39
developmental	36
human_learning	22
neural_network	17
lwpr	16
abstraction	14
hierarchical	14
function_approximation	13
fuzzy	13
anticipatory_learning	11
survey	9
manipulation	8
object_manipulation	8
robotics	8
actor-critic	7
continuous_space	7
knowledge	7
input_selection	6
behavior	5
continuous_time	5
control	5
evolutionary	5
hand	5
induction	5
inverse_kinematic	5
motivational	5
online	5
bayesian	4
finger	4
human_side	4
intrinsic	4
model-based	4
ontology	4
policy_gradient	4
algorithm	3
causal_relation	3
concurrent	3
feaure_selection	3
geometry	3
high_dimensions	3
lcs	3
mental	3
nonlinear	3
options	3
real_world	3
schema_learning	3
skill	3
tree_based	3
action_selection	2
context	2
decision_tree	2
dexterous	2
dimensionality_reduction	2
freezed_dof	2
generalization	2
hexq	2
hybrid	2
imitation	2
incremental	2
inverse_dynamics	2
manipulator	2
model_learning	2
multi_agent	2
natural	2
off-policy	2
physiology	2
planning	2
plasticity	2
reward	2
systems	2
tactile	2
vision	2
adaptive	1
coarticulation	1
communication	1
computational_model	1
continuous_action	1
dimension_reduction	1
discretization	1
dynamic_environment	1
experimental	1
force_measurements	1
forces	1
gaussian_processes	1
graspin	1
homomorphism	1
information	1
intelligent_agents	1
kephera	1
lyapunov	1
motor_learning	1
neat	1
neuromodulation	1
nullspace	1
object	1
optimal	1
optimization	1
partitioning	1
prediction	1
probabilistic	1
pushing	1
rbf	1
reduction	1
relational	1
self-exploration	1
self_structuring	1
sliding_contacts	1
state_estimation	1
statistical	1
temporally_extended	1
value_systems	1
virtual_finger	1

Cavadini's learning [75 articles] Export

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