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COLT
2001
Springer
14 years 1 days 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
RTAS
2008
IEEE
14 years 1 months ago
Using Trace Scratchpads to Reduce Execution Times in Predictable Real-Time Architectures
Instruction scratchpads have been previously suggested as a way to reduce the worst case execution time (WCET) of hard real-time programs without introducing the analysis issues p...
Jack Whitham, Neil C. Audsley
CDC
2010
IEEE
210views Control Systems» more  CDC 2010»
13 years 2 months ago
Advances in moving horizon estimation for nonlinear systems
In the past decade, moving horizon estimation (MHE) has emerged as a powerful technique for estimating the state of a dynamical system in the presence of nonlinearities and disturb...
Angelo Alessandri, Marco Baglietto, Giorgio Battis...
PRIB
2010
Springer
176views Bioinformatics» more  PRIB 2010»
13 years 5 months ago
An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps
Abstract. An important unsolved problem in structural bioinformatics is that of protein structure prediction (PSP), the reconstruction of a biologically plausible three-dimensional...
Stefano Teso, Cristina Di Risio, Andrea Passerini,...
COLT
1999
Springer
13 years 11 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon