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JMLR
2012
13 years 4 days 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
BMCBI
2006
194views more  BMCBI 2006»
14 years 9 months ago
Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
ICCAD
2008
IEEE
133views Hardware» more  ICCAD 2008»
15 years 6 months ago
Module locking in biochemical synthesis
—We are developing a framework for computation with biochemical reactions with a focus on synthesizing specific logical functionality, a task analogous to technology-independent...
Brian Fett, Marc D. Riedel
ICCV
2005
IEEE
15 years 3 months ago
Perceptual Scale Space and its Applications
When an image is viewed at varying resolutions, it is known to create discrete perceptual jumps or transitions amid the continuous intensity changes. In this paper, we study a per...
Yizhou Wang, Siavosh Bahrami, Song Chun Zhu
PODC
2005
ACM
15 years 3 months ago
Routing complexity of faulty networks
One of the fundamental problems in distributed computing is how to efficiently perform routing in a faulty network in which each link fails with some probability. This paper inves...
Omer Angel, Itai Benjamini, Eran Ofek, Udi Wieder