Abstraction Levels for Robotic Imitation: Overview and Computational Approaches (2010)

by Manuel Lopes , Francisco Melo , Luis Montesano , José Santos-Victor
Citations:10 - 4 self

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Chapter 1 Abstraction Levels for Robotic Imitation: Overview and Computational Approaches – Manuel Lopes, Francisco Melo, Luis Montesano, José Santos-victor, Manuel Lopes, Francisco Melo, Luis Montesano, José Santos-victor, Manuel Lopes, Francisco Melo, Luis Montesano, José Santos-victor
5 Imitation and social learning for synthetic characters – Daphna Buchsbaum - 2004
606 Visual categorization with bags of keypoints – Gabriella Csurka, Christopher R. Dance, Lixin Fan, Jutta Willamowski, Cédric Bray - 2004
636 Automatically characterizing large scale program behavior – Timothy Sherwood, Erez Perelman, Greg Hamerly - 2002
516 Inductive Learning Algorithms and Representations for Text Categorization – Susan Dumais, John Platt, Mehran Sahami, David Heckerman - 1998
579 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
539 Active Learning with Statistical Models – David A. Cohn, Zoubin Ghahramani, Michael I. Jordan - 1995
753 Using Bayesian networks to analyze expression data – Nir Friedman, Michal Linial, Iftach Nachman - 2000
575 Markov Logic Networks – Matthew Richardson, Pedro Domingos - 2006