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17 years 5 months ago
Gaussian Processes for Machine Learning
"Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning...
Carl Edward Rasmussen and Christopher K. I. Willia...
IFL
2004
Springer
138views Formal Methods» more  IFL 2004»
16 years 11 days ago
A Rational Deconstruction of Landin's SECD Machine
Landin’s SECD machine was the first abstract machine for the λ-calculus viewed as a programming language. Both theoretically as a model of computation and practically as an ide...
Olivier Danvy
CDC
2008
IEEE
216views Control Systems» more  CDC 2008»
16 years 1 months ago
Robust limit cycle control in an attitude control system with switching-constrained actuators
Abstract— In this paper the robust behavior in some piecewise affine systems with minimally spaced transition times is studied. Such systems are found e.g. in satellites and sat...
Alexandre R. Mesquita, Karl Heinz Kienitz, Erico L...
EDBT
2008
ACM
111views Database» more  EDBT 2008»
16 years 7 months ago
Micro-aggregation-based heuristics for p-sensitive k-anonymity: one step beyond
Micro-data protection is a hot topic in the field of Statistical Disclosure Control (SDC), that has gained special interest after the disclosure of 658000 queries by the AOL searc...
Agusti Solanas, Francesc Sebé, Josep Doming...
EUROGRAPHICS
2010
Eurographics
16 years 4 months ago
The Virtual Director: a Correlation-Based Online Viewing of Human Motion
Automatic camera control for scenes depicting human motion is an imperative topic in motion capture base animation, computer games, and other animation based fields. This challen...
Jackie Assa, Lior Wolf, Daniel Cohen-Or