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» Stochastic complexity in learning
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EEF
2000
13 years 11 months ago
Distributed and Structured Analysis Approaches to Study Large and Complex Systems
Both the logic and the stochastic analysis of discrete-state systems are hindered by the combinatorial growth of the state space underlying a high-level model. In this work, we con...
Gianfranco Ciardo
ICPR
2008
IEEE
14 years 2 months ago
Birkhoff polytopes, heat kernels and graph complexity
In this paper we use doubly stochastic matrices to establish a link between Birkhoff polytopes and heat kernels on graphs. Based on this analysis we construct a multi-dimensional ...
Francisco Escolano, Edwin R. Hancock, Miguel Angel...
WSC
1996
13 years 9 months ago
Simulation of complex construction processes
Eight successively refined simulation models for the earthmoving operations involved in the construction of a dam provide the foundation for illustrating the ease and effectivenes...
Photios G. Ioannou, Julio C. Martínez
ALT
2010
Springer
13 years 9 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
IWIA
2006
IEEE
14 years 1 months ago
Modeling and Execution of Complex Attack Scenarios using Interval Timed Colored Petri Nets
The commonly used flaw hypothesis model (FHM) for performing penetration tests provides only limited, highlevel guidance for the derivation of actual penetration attempts. In thi...
Ole Martin Dahl, Stephen D. Wolthusen