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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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TIT
2002
75views more  TIT 2002»
14 years 9 months ago
Iterative multiuser joint decoding: Unified framework and asymptotic analysis
We present a framework for iterative multiuser joint decoding of code-division multiple-access (CDMA) signals, based on the factor-graph representation and on the sum-product algor...
Joseph Boutros, Giuseppe Caire
NPL
1998
135views more  NPL 1998»
14 years 9 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal
IJCNN
2007
IEEE
15 years 4 months ago
Parallel Learning of Large Fuzzy Cognitive Maps
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
AAAI
1994
14 years 11 months ago
Solution Reuse in Dynamic Constraint Satisfaction Problems
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Gérard Verfaillie, Thomas Schiex
JSAC
2006
93views more  JSAC 2006»
14 years 9 months ago
Multiuser Margin Optimization in Digital Subscriber Line (DSL) Channels
Abstract--This paper presents efficient multiuser margin optimization algorithms suitable for multicarrier digital subscriber line (DSL) systems using Dynamic Spectrum Management (...
Saswat Panigrahi, Yang Xu, Tho Le-Ngoc