Cavadini's library 225 articles Export

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	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
	A computational model for recognizing objects and planning hand shapes in grasping movements [My Copy] Neural Netw., Vol. 8, No. 6. (1995), pp. 839-851. by Yoji Uno, Naohiro Fukumura, Ryoji Suzuki, Mitsuo Kawato posted to computational_model grasping hand by Cavadini on 2008-05-16 11:50:09 as
	Imitation bootstrapping: experiments on a robotic hand [My Copy] Humanoid Robots, 2005 5th IEEE-RAS International Conference on In Humanoid Robots, 2005 5th IEEE-RAS International Conference on (2005), pp. 189-195. by E. Oztop, T. Chaminade, G. Cheng, M. Kawato posted to hand imitation by Cavadini on 2008-05-16 11:40:30 as along with 1 person rockelegancy
	The Multilayer In-Place Learning Network for the Development of General Invariances and Multi-Task Learning [My Copy] Neural Networks, 2007. IJCNN 2007. International Joint Conference on In Neural Networks, 2007. IJCNN 2007. International Joint Conference on (2007), pp. 2621-2628. by Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue posted to developmental mental neural_network robotics by Cavadini on 2008-04-17 11:13:41 as
	Exploring Principles Toward a Developmental Theory of Embodied Artificial Intelligence [My Copy] (2004) by Max Lungarella posted to developmental robotics by Cavadini on 2008-01-08 07:20:24 as
	Developmental robotics: a survey [My Copy] Connection Science, Vol. 15, No. 4. (2003), pp. 151-190. by Max Lungarella, Giorgio Metta, Rolf Pfeifer, Giulio Sandini posted to developmental robotics survey by Cavadini on 2008-01-07 08:03:41 as along with 1 person AlainDutech
	Neuro-fuzzy modeling and control [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 83, No. 3. (1995), pp. 378-406. by J. S. R. Jang, Chuen-Tsai Sun posted to control fuzzy neural_network by Cavadini on 2007-11-08 14:07:50 as
	Neural Network-Based Kinematic Inversion of Industrial Redundant Robots Using Cooperative Fuzzy Hint for the Joint Limits Avoidance [My Copy] Mechatronics, IEEE/ASME Transactions on In Mechatronics, IEEE/ASME Transactions on, Vol. 11, No. 5. (2006), pp. 593-603. by S. F. M. Assal, K. Watanabe, K. Izumi posted to fuzzy inverse_kinematic manipulator neural_network by Cavadini on 2007-10-12 13:41:44 as
	Ontology learning: state of the art and open issues [My Copy] Information Technology and Management, Vol. 8, No. 3. (2007), pp. 241-252. by Lina Zhou posted to learning ontology survey by Cavadini on 2007-10-02 14:41:26 as along with 2 people andreacapocci fmarquesfilho
	Intuitive theories as grammars for causal inference [My Copy] In Causal Learning: Psychology, Philosophy, and Computation (2007) by J. B. Tenenbaum, T. L. Griffiths, S. Niyogi posted to abstraction causal_relation generalization induction knowledge by Cavadini on 2007-10-01 13:39:08 as
	Learning systems of concepts with an infinite relational model. [My Copy] In AAAI (2006) by C. Kemp, J. B. Tenenbaum, T. L. Griffiths, T. Yamada, N. Ueda posted to abstraction causal_relation induction learning by Cavadini on 2007-10-01 11:13:27 as along with 5 people and 1 group ttylenda vlachmore mhay mshafiei rwm101 kdl
	Theory-based Bayesian models of inductive learning and reasoning [My Copy] Trends in Cognitive Sciences, Vol. In Press, Corrected Proof by Joshua B. Tenenbaum, Thomas L. Griffiths, Charles Kemp posted to abstraction bayesian induction learning by Cavadini on 2007-10-01 10:12:54 as along with 6 people and 1 group linhares BBoyButzemann garyfeng drmabuse briordan slygent ReadingLab
	Autoshaping: Learning to Predict Reward for Novel States [My Copy] (2005) by G. D. Konidaris, A. G. Barto posted to abstraction generalization knowledge options by Cavadini on 2007-09-26 14:43:38 as
	Autonomous shaping: knowledge transfer in reinforcement learning [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 489-496. by George Konidaris, Andrew Barto posted to abstraction hierarchical knowledge options by Cavadini on 2007-09-26 14:26:36 as along with 1 person stober
	Decision Tree Methods for Finding Reusable MDP Homomorphisms [My Copy] In The 21st National Conference on Artificial Intelligence (July 2006) by A. P. Wolfe, A. G. Barto posted to hierarchical knowledge abstraction by Cavadini on 2007-09-25 14:57:51 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
	A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling [My Copy] Machine Learning, Vol. 28, No. 1. (1 July 1997), pp. 7-39. by Jonathan Baxter posted to bayesian model_learning by Cavadini on 2008-06-03 07:50:55 as along with 1 person bpacker
	Two Virtual Fingers in the Control of the Tripod Grasp [My Copy] J Neurophysiol, Vol. 86, No. 2. (1 August 2001), pp. 604-615. by Gabriel Baud-Bovy, John F. Soechting posted to grasping physiology virtual_finger by Cavadini on 2008-05-16 11:27:43 as
	Incremental Learning Framework for Function Approximation via Combining Mixture of Expert Model and Adaptive Resonance Theory [My Copy] Mechatronics and Automation, 2007. ICMA 2007. International Conference on In Mechatronics and Automation, 2007. ICMA 2007. International Conference on (2007), pp. 3486-3491. by Cheoltaek Kim, Ju-Jang Lee posted to function_approximation by Cavadini on 2008-04-03 10:32:37 as
	Single trial learning of external dynamics: What can the brain teach us about learning mechanisms? [My Copy] International Congress Series In Brain-Inspired IT III. Invited and selected papers of the 3rd International Conference on Brain-Inspired Information Technology "BrainIT 2006" held in Hibikino, Kitakyushu, Japan between 27 and 29 September 2006, Vol. 1301 (July 2007), pp. 67-70. by David W. Franklin, Theodore E. Milner, Mitsuo Kawato posted to human_side object_manipulation by Cavadini on 2008-02-26 11:41:00 as along with 1 person ngoncalves
	Object Manipulation of Humanoid Robot Based on Combined Optimization Approach [My Copy] Mechatronics and Automation, 2007. ICMA 2007. International Conference on In Mechatronics and Automation, 2007. ICMA 2007. International Conference on (2007), pp. 1148-1153. by Altaf H. Rajpar, Qiang Huang, Weimin Zhang, Dongyong Jia, Kejie Li posted to inverse_kinematic object_manipulation by Cavadini on 2008-02-26 11:16:22 as
	Control strategies in object manipulation tasks. [My Copy] Curr Opin Neurobiol, Vol. 16, No. 6. (December 2006), pp. 650-659. by J. R. Flanagan, M. C. Bowman, R. S. Johansson posted to object_manipulation by Cavadini on 2008-02-25 12:22:08 as along with 2 people suizan SinghalLab
	Automatic feature selection in neuroevolution [My Copy] In GECCO '05: Proceedings of the 2005 conference on Genetic and evolutionary computation (2005), pp. 1225-1232. by Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainen, Nate Kohl posted to evolutionary input_selection neat by Cavadini on 2008-01-23 10:03:45 as
	Incremental Online Learning in High Dimensions [My Copy] by Sethu Vijayakumar, Aaron D'Souza, Stefan Schaal posted to function_approximation input_selection online by Cavadini on 2008-01-17 14:34:44 as
	Effective Input Variable Selection for Function Approximation [My Copy] Artificial Neural Networks – ICANN 2006 (2006), pp. 41-50. by L. Herrera, H. Pomares, I. Rojas, M. Verleysen, A. Guilén posted to function_approximation input_selection by Cavadini on 2008-01-17 14:11:56 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
	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
	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
	A primal-dual neural network for online resolving constrained kinematic redundancy in robot motion control [My Copy] Systems, Man and Cybernetics, Part B, IEEE Transactions on In Systems, Man and Cybernetics, Part B, IEEE Transactions on, Vol. 35, No. 1. (2005), pp. 54-64. by Y. S. Xia, Gang Feng, Jun Wang posted to inverse_kinematic neural_network by Cavadini on 2007-10-12 13:45:09 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
	Reinforcement Learning in Continuous Time and Space [My Copy] Neural Comput., Vol. 12, No. 1. (January 2000), pp. 219-245. by Kenji Doya posted to continuous_time learning reinforcement by Cavadini on 2007-10-03 09:14:29 as
	The state of the art in ontology learning: a framework for comparison [My Copy] Knowl. Eng. Rev., Vol. 18, No. 4. (December 2003), pp. 293-316. by Mehrnoush Shamsfard, Ahmad A. Barforoush posted to learning ontology survey by Cavadini on 2007-10-02 15:40:13 as
	Semi-supervised learning with trees [My Copy] Advances in Neural Information Processing Systems (2004) by C. Kemp, T. Griffiths, S. Stromsten, J. Tenenbaum posted to causal_relation induction learning by Cavadini on 2007-10-01 11:06:24 as
	Hybrid Behavior Co-evolution and Structure Learning in Behavior-based Systems [My Copy] Evolutionary Computation, 2006. CEC 2006. IEEE Congress on In Evolutionary Computation, 2006. CEC 2006. IEEE Congress on (2006), pp. 275-282. by A. M. Farahmand, M. N. Ahmadabadi, C. Lucas, B. N. Araabi posted to behavior evolutionary learning real_world by Cavadini on 2007-09-28 10:48:11 as
	Structural Abstraction Experiments in Reinforcement Learning [My Copy] In The 18th Australian Joint Conference on Artificial Intelligence (2005) by Robert Fitch, Bernhard Hengst, Dorian Suc, Greg Calbert, Jason Scholz posted to abstraction concurrent hierarchical knowledge survey by Cavadini on 2007-09-27 14:50:23 as
	Decision-Theoretic Planning with Concurrent Temporally Extended Actions [My Copy] In Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence, pp. 472-479. by Khashayar Rohanimanesh, Sridhar Mahadevan posted to concurrent learning options reinforcement temporally_extended by Cavadini on 2007-09-25 15:57:01 as
	Mirror neurons and imitation: a computationally guided review [My Copy] Neural Netw., Vol. 19, No. 3. (April 2006), pp. 254-271. by Erhan Oztop, Mitsuo Kawato, Michael Arbib posted to imitation physiology by Cavadini on 2008-05-16 11:44:41 as along with 1 person rockelegancy
	Explicit contextual information selectively contributes to predictive switching of internal models. [My Copy] Exp Brain Res, Vol. 181, No. 3. (August 2007), pp. 395-408. by H. Imamizu, N. Sugimoto, R. Osu, et al.K. Tsutsui, K. Sugiyama, Y. Wada, M. Kawato posted to anticipatory_learning human_side object_manipulation by Cavadini on 2008-03-11 11:33:16 as along with 1 person zhihui42
	Neural correlates of internal-model loading. [My Copy] Curr Biol, Vol. 16, No. 24. (19 December 2006), pp. 2440-2445. by L. L. Bursztyn, G. Ganesh, H. Imamizu, M. Kawato, J. R. Flanagan posted to human_side object_manipulation by Cavadini on 2008-03-11 11:31:21 as
	Infant grasp learning: a computational model [My Copy] pp. 480-503. by Erhan Oztop posted to human_side object_manipulation by Cavadini on 2008-02-26 11:39:33 as
	Reinforcement learning for manipulation using constraint between object and robot [My Copy] Systems, Man and Cybernetics, 2005 IEEE International Conference on In Systems, Man and Cybernetics, 2005 IEEE International Conference on, Vol. 1 (2005), pp. 871-876 Vol. 1. by Y. Kobayashi, H. Fujii, S. Hosoe posted to object_manipulation by Cavadini on 2008-02-25 15:03:36 as
	A Suite of Robust Controllers for the Manipulation of Microscale Objects [My Copy] Systems, Man, and Cybernetics, Part B, IEEE Transactions on In Systems, Man, and Cybernetics, Part B, IEEE Transactions on, Vol. 38, No. 1. (2008), pp. 113-125. by Q. Yang, S. Jagannathan posted to object_manipulation by Cavadini on 2008-02-25 14:55:22 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
	Minimal Structure of Self-Organizing HCMAC Neural Network Classifier [My Copy] Neural Processing Letters, Vol. 23, No. 2. (April 2006), pp. 201-228. by Chen, Chih-Ming, Lu, Yung-Feng, Hong, Chin-Ming posted to function_approximation input_selection neural_network by Cavadini on 2008-01-17 14:28:19 as
	Backward Varilable Selection of Support Vector Regressors by Block Deletion [My Copy] Neural Networks, 2007. IJCNN 2007. International Joint Conference on In Neural Networks, 2007. IJCNN 2007. International Joint Conference on (2007), pp. 2117-2122. by Takashi Nagatani, Shigeo Abe posted to function_approximation input_selection by Cavadini on 2008-01-17 14:25:13 as
	A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection [My Copy] Advances in Neural Networks - ISNN 2006 (2006), pp. 1352-1358. by Xi-Zhao Wang, Hui Zhang posted to function_approximation input_selection by Cavadini on 2008-01-17 14:24:51 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

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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
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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
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hexq	2
hybrid	2
imitation	2
incremental	2
inverse_dynamics	2
manipulator	2
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natural	2
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reward	2
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tactile	2
vision	2
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communication	1
computational_model	1
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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
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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

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