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ICML
2009
IEEE
16 years 1 months ago
Trajectory prediction: learning to map situations to robot trajectories
Trajectory planning and optimization is a fundamental problem in articulated robotics. Algorithms used typically for this problem compute optimal trajectories from scratch in a ne...
Nikolay Jetchev, Marc Toussaint
94
Voted
ML
1998
ACM
115views Machine Learning» more  ML 1998»
15 years 3 days ago
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
This paper is a case study of a machine aided knowledge discovery process within the general area of drug design. More speci cally, the paper describes a sequence of experiments in...
Paul W. Finn, Stephen Muggleton, David Page, Ashwi...
ICRA
2006
IEEE
87views Robotics» more  ICRA 2006»
15 years 6 months ago
Learning to Predict Slip for Ground Robots
— In this paper we predict the amount of slip an exploration rover would experience using stereo imagery by learning from previous examples of traversing similar terrain. To do t...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
109
Voted
ITS
2004
Springer
123views Multimedia» more  ITS 2004»
15 years 5 months ago
Combining Heuristics and Formal Methods in a Tool for Supporting Simulation-Based Discovery Learning
Abstract. This paper describes the design of a tool to support learners in simulation-based discovery learning environments. The design redesigns and extents a previous tool to ove...
Koen Veermans, Wouter R. van Joolingen
108
Voted
SIGIR
2008
ACM
15 years 11 days ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum