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MICRO
2006
IEEE
127views Hardware» more  MICRO 2006»
14 years 2 months ago
A Predictive Performance Model for Superscalar Processors
Designing and optimizing high performance microprocessors is an increasingly difficult task due to the size and complexity of the processor design space, high cost of detailed si...
P. J. Joseph, Kapil Vaswani, Matthew J. Thazhuthav...
JMLR
2007
137views more  JMLR 2007»
13 years 8 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
NIPS
1993
13 years 10 months ago
Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
Christopher G. Atkeson
VIS
2004
IEEE
111views Visualization» more  VIS 2004»
14 years 9 months ago
Volume Refinement Fairing Isosurfaces
We propose an interpolating refinement method for two- and threedimensional scalar fields defined on hexahedral grids. Iterative fairing of the underlying contours (isosurfaces) p...
Martin Bertram
IJCAI
2007
13 years 10 months ago
Explanation-Based Feature Construction
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
Shiau Hong Lim, Li-Lun Wang, Gerald DeJong