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NIPS
1998
15 years 5 months ago
Inference in Multilayer Networks via Large Deviation Bounds
We study probabilistic inference in large, layered Bayesian networks represented as directed acyclic graphs. We show that the intractability of exact inference in such networks do...
Michael J. Kearns, Lawrence K. Saul
FOGA
1996
15 years 5 months ago
A Study of Fixed-Length Subset Recombination
While bit-based, order-based and real-valued genetic algorithms have been wellstudied in the literature, the xed-length subset representation has received relativelylittle attenti...
Kelly D. Crawford, Cory J. Hoelting, Roger L. Wain...
WCE
2007
15 years 5 months ago
Fast Bias Removal Equation-Error Adaptive Filters
—This paper presents a multi step-size monic normalization equation-error linear filter. We also extend the idea to nonlinear adaptive filter and derive a multi step-size monic n...
Junghsi Lee, Yi-Wen Chiu, Hsu Chang Huang
126
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AUTOMATICA
2010
130views more  AUTOMATICA 2010»
15 years 4 months ago
Discrete-time dynamic average consensus
We propose a class of discrete-time dynamic average consensus algorithms that allow a group of agents to track the average of their reference inputs. The convergence results rely ...
Minghui Zhu, Sonia Martínez
CORR
2008
Springer
375views Education» more  CORR 2008»
15 years 3 months ago
The Margitron: A Generalised Perceptron with Margin
We identify the classical Perceptron algorithm with margin as a member of a broader family of large margin classifiers which we collectively call the Margitron. The Margitron, (des...
Constantinos Panagiotakopoulos, Petroula Tsampouka