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ICRA
2008
IEEE
155views Robotics» more  ICRA 2008»
15 years 11 months ago
Learning tactic-based motion models with fast particle smoothing
— Learning parameters of a motion model is an important challenge for autonomous robots. We address the particular instance of parameter learning when tracking motions with a swi...
Yang Gu, Manuela M. Veloso
ICALT
2009
IEEE
15 years 11 months ago
A Graphical Modeling Language for Computer-Based Learning Scenarios
A crucial challenge for improving EMLs is to provide an intuitive notation to support educational practitioners to not only understand, but also describe a large number of flexibl...
Anne Lejeune, Muriel Ney, Armin Weinberger, Margus...
IROS
2009
IEEE
180views Robotics» more  IROS 2009»
15 years 11 months ago
Control of redundant robots using learned models: An operational space control approach
Abstract— We present an adaptive control approach combining forward kinematics model learning methods with the operational space control approach. This combination endows the rob...
Camille Salaün, Vincent Padois, Olivier Sigau...
UM
2007
Springer
15 years 10 months ago
Principles of Lifelong Learning for Predictive User Modeling
Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
Ashish Kapoor, Eric Horvitz
COLT
2001
Springer
15 years 9 months ago
Learning Additive Models Online with Fast Evaluating Kernels
Abstract. We develop three new techniques to build on the recent advances in online learning with kernels. First, we show that an exponential speed-up in prediction time per trial ...
Mark Herbster