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IROS
2008
IEEE
123views Robotics» more  IROS 2008»
16 years 28 days ago
Learning predictive terrain models for legged robot locomotion
— Legged robots require accurate models of their environment in order to plan and execute paths. We present a probabilistic technique based on Gaussian processes that allows terr...
Christian Plagemann, Sebastian Mischke, Sam Prenti...
ICDM
2007
IEEE
97views Data Mining» more  ICDM 2007»
16 years 26 days ago
Supervised Learning by Training on Aggregate Outputs
Supervised learning is a classic data mining problem where one wishes to be be able to predict an output value associated with a particular input vector. We present a new twist on...
David R. Musicant, Janara M. Christensen, Jamie F....
AAMAS
2007
Springer
16 years 22 days ago
Continuous-State Reinforcement Learning with Fuzzy Approximation
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
ITICSE
2006
ACM
16 years 15 days ago
Peer teaching extends HCI learning
Crafting a good user experience requires skills in several disciplines. Few people have this breadth of knowledge, and undergraduate computer science students are no exception. En...
Beryl Plimmer, Robert Amor
ICCV
2005
IEEE
16 years 4 days ago
Learning Non-Generative Grammatical Models for Document Analysis
— We present a general approach for the hierarchical segmentation and labeling of document layout structures. This approach models document layout as a grammar and performs a glo...
Michael Shilman, Percy Liang, Paul A. Viola