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MS
2003
15 years 8 months ago
Potential for Symbolic-assisted Process Simulation
This paper explores the potential of acausal modelling tools for a simple, but challenging process engineering benchmark problem. Matlab/Simulink illustrates a traditional block d...
Christian Haag, David I. Wilson
FOCS
1990
IEEE
15 years 10 months ago
Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Avrim Blum
WSC
2008
15 years 9 months ago
Using agent technology to move from intention-based to effect-based models
Following current modeling paradigms, most processes are captured in the form of modeling a desired intent, often using success probabilities. In addition, only special roles that...
Andreas Tolk, Robert J. Bowen, Patrick T. Hester
FOSSACS
2005
Springer
16 years 8 days ago
Mathematical Models of Computational and Combinatorial Structures
The general aim of this talk is to advocate a combinatorial perspective, together with its methods, in the investigation and study of models of computation structures. This, of cou...
Marcelo P. Fiore
CSSE
2008
IEEE
16 years 1 months ago
Stochastic Gradient Algorithm for Multi-input Systems Based on the Auxiliary Model
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
Yuwu Liao, Xianfang Wang, Rui Feng Ding