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ICRA
2008
IEEE
121views Robotics» more  ICRA 2008»
15 years 10 months ago
Trajectory inverse kinematics by conditional density modes
Abstract— We present a machine learning approach for trajectory inverse kinematics: given a trajectory in workspace, to find a feasible trajectory in angle space. The method lea...
Chao Qin, Miguel Á. Carreira-Perpiñ&...
ICPR
2010
IEEE
15 years 10 months ago
A Meta-Learning Approach to Conditional Random Fields Using Error-Correcting Output Codes
—We present a meta-learning framework for the design of potential functions for Conditional Random Fields. The design of both node potential and edge potential is formulated as a...
Francesco Ciompi, Oriol Pujol, Petia Radeva
ECML
2004
Springer
15 years 9 months ago
Conditional Independence Trees
It has been observed that traditional decision trees produce poor probability estimates. In many applications, however, a probability estimation tree (PET) with accurate probabilit...
Harry Zhang, Jiang Su
144
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TPHOL
2003
IEEE
15 years 9 months ago
First Order Logic with Domain Conditions
This paper addresses the crucial issue in the design of a proof development system of how to deal with partial functions and the related question of how to treat undefined terms. ...
Freek Wiedijk, Jan Zwanenburg
FLAIRS
2008
15 years 6 months ago
Conditional and Composite Constraints with Preferences
Preferences in constraint problems are common but significant in many real world applications. In this paper, we extend our conditional and composite CSP (CCCSP) framework, managi...
Malek Mouhoub, Amrudee Sukpan