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JMLR
2010
112views more  JMLR 2010»
15 years 1 months ago
Sparse Spectrum Gaussian Process Regression
We present a new sparse Gaussian Process (GP) model for regression. The key novel idea is to sparsify the spectral representation of the GP. This leads to a simple, practical algo...
Miguel Lázaro-Gredilla, Joaquin Quiñ...
JC
2007
63views more  JC 2007»
15 years 6 months ago
Optimal approximation of elliptic problems by linear and nonlinear mappings III: Frames
We study the optimal approximation of the solution of an operator equation A(u) = f by certain n-term approximations with respect to specific classes of frames. We consider worst...
Stephan Dahlke, Erich Novak, Winfried Sickel
ICPP
2003
IEEE
15 years 11 months ago
FastLSA: A Fast, Linear-Space, Parallel and Sequential Algorithm for Sequence Alignment
Pairwise sequence alignment is a fundamental operation for homology search in bioinformatics. For two DNA or protein sequences of length ¢ and £ , full-matrix (FM), dynamic prog...
Adrian Driga, Paul Lu, Jonathan Schaeffer, Duane S...
CEC
2007
IEEE
15 years 10 months ago
Virtual reality high dimensional objective spaces for multi-objective optimization: An improved representation
This paper presents an approach for constructing improved visual representations of high dimensional objective spaces using virtual reality. These spaces arise from the solution of...
Julio J. Valdés, Alan J. Barton, Robert Orc...
COCOON
2001
Springer
15 years 10 months ago
A Space Saving Trick for Directed Dynamic Transitive Closure and Shortest Path Algorithms
We present a simple space saving trick that applies to many previous algorithms for transitive closure and shortest paths in dynamic directed graphs. In these problems, an update c...
Valerie King, Mikkel Thorup