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88
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NIPS
1998
14 years 11 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
84
Voted
NIPS
2008
14 years 11 months ago
Nonlinear causal discovery with additive noise models
The discovery of causal relationships between a set of observed variables is a fundamental problem in science. For continuous-valued data linear acyclic causal models with additiv...
Patrik O. Hoyer, Dominik Janzing, Joris M. Mooij, ...
88
Voted
CVPR
2001
IEEE
15 years 11 months ago
Issues on the Geometry of Central Catadioptric Image Formation
An imaging system with a single effective viewpoint is called a central projection system. The conventional perspective camera is an example of a central projection system. System...
João P. Barreto, Helder Araújo
78
Voted
SIAMJO
2008
93views more  SIAMJO 2008»
14 years 9 months ago
Recursive Trust-Region Methods for Multiscale Nonlinear Optimization
A class of trust-region methods is presented for solving unconstrained nonlinear and possibly nonconvex discretized optimization problems, like those arising in systems governed by...
Serge Gratton, Annick Sartenaer, Philippe L. Toint
STOC
1995
ACM
126views Algorithms» more  STOC 1995»
15 years 1 months ago
A computational view of population genetics
This paper contributes tothe study of nonlinear dynamical systems from a computational perspective. These systems are inherently more powerful than their linear counterparts (such...
Yuval Rabani, Yuri Rabinovich, Alistair Sinclair