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» Iterative Methods in Combinatorial Optimization
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118
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ICCAD
1999
IEEE
101views Hardware» more  ICCAD 1999»
15 years 7 months ago
Efficient model reduction of interconnect via approximate system gramians
Krylov-subspace based methods for generating low-order models of complicated interconnect are extremely effective, but there is no optimality theory for the resulting models. Alte...
Jing-Rebecca Li, Jacob White
143
Voted
JMLR
2012
13 years 5 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
ECML
2004
Springer
15 years 8 months ago
Convergence and Divergence in Standard and Averaging Reinforcement Learning
Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
Marco Wiering
105
Voted
PG
2000
IEEE
15 years 7 months ago
Interpolating and Approximating Moving Frames Using B-splines
The representation of moving geometry entities is an important issue in the fields of CAD/CAM and robotics motion design. We present a method to interpolate the moving frame homog...
Lizhuang Ma, Tony K. Y. Chan, Zhongding Jiang
SIBGRAPI
1999
IEEE
15 years 6 months ago
Piecewise Trilinear Deformation of Tomographic Models
: In this work we introduce an iterative method that deforms brain models built from tomographic images. The deformation is used for normalization purposes: individual models are d...
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