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ICPR
2006
IEEE
14 years 9 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
AI
2007
Springer
14 years 2 months ago
Adding Local Constraints to Bayesian Networks
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘or...
Mark Crowley, Brent Boerlage, David Poole
ISCAPDCS
2007
13 years 9 months ago
A rapid heuristic for scheduling non-preemptive dependent periodic tasks onto multiprocessor
We address distributed real-time applications represented by systems of non-preemptive dependent periodic tasks. This system is described by an acyclic directed graph. Because the...
Omar Kermia, Yves Sorel
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
13 years 9 months ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...
CORR
2010
Springer
112views Education» more  CORR 2010»
13 years 8 months ago
On Finding Frequent Patterns in Event Sequences
Given a directed acyclic graph with labeled vertices, we consider the problem of finding the most common label sequences ("traces") among all paths in the graph (of some...
Andrea Campagna, Rasmus Pagh