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CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 8 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
S. M. Kamruzzaman, Md. Monirul Islam
PRICAI
2000
Springer
14 years 9 days ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
JCM
2007
131views more  JCM 2007»
13 years 8 months ago
Routing in Optical and Non-Optical Networks using Boolean Satisfiability
—Today, most routing problems are solved using Dijkstra’s shortest path algorithm. Many efficient implementations of Dijkstra’s algorithm exist and can handle large networks ...
Fadi A. Aloul, Bashar Al Rawi, Mokhtar Aboelaze
TCOM
2010
102views more  TCOM 2010»
13 years 7 months ago
A system performance approach to OSNR optimization in optical networks
Abstract—This paper studies a constrained optical signal-tonoise ratio (OSNR) optimization problem in optical networks from the perspective of system performance. A system optimi...
Yan Pan, Tansu Alpcan, Lacra Pavel
ACSD
2008
IEEE
102views Hardware» more  ACSD 2008»
14 years 3 months ago
Performing causality analysis by bounded model checking
Synchronous systems can immediately react to the inputs of their environment which may lead to so-called causality cycles between actions and their trigger conditions. Systems wit...
Klaus Schneider, Jens Brandt