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NIPS
2001
15 years 8 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
SMA
2010
ACM
231views Solid Modeling» more  SMA 2010»
15 years 6 months ago
Conservative swept volume boundary approximation
We present a novel technique for approximating the boundary of a swept volume. The generator given by an input triangle mesh is rendered under all rigid transformations of a discr...
Andreas von Dziegielewski, R. Erbes, Elmar Sch&oum...
AAAI
2011
14 years 6 months ago
An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems
Recently, a number of researchers have proposed spectral algorithms for learning models of dynamical systems—for example, Hidden Markov Models (HMMs), Partially Observable Marko...
Byron Boots, Geoffrey J. Gordon
WEBDB
2005
Springer
105views Database» more  WEBDB 2005»
16 years 1 days ago
On the Expressive Power of Node Construction in XQuery
In the relational model it has been shown that the flat relational algebra has the same expressive power as the nested relational algebra, as far as queries over flat relations ...
Wim Le Page, Jan Hidders, Philippe Michiels, Jan P...
ICSOC
2004
Springer
15 years 12 months ago
Methodological support for service-oriented design with ISDL
Currently, service-oriented computing is mainly technology-driven. Most developments focus on the technology that enables enterprises to describe, publish and compose application ...
Dick A. C. Quartel, Remco M. Dijkman, Marten van S...