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FCS
2006
15 years 8 months ago
Principles of Optimal Probabilistic Decision Tree Construction
Probabilistic (or randomized) decision trees can be used to compute Boolean functions. We consider two types of probabilistic decision trees - one has a certain probability to give...
Laura Mancinska, Maris Ozols, Ilze Dzelme-Berzina,...
NCA
2006
IEEE
15 years 7 months ago
Evolutionary training of hardware realizable multilayer perceptrons
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
Vassilis P. Plagianakos, George D. Magoulas, Micha...
AUTOMATICA
1999
119views more  AUTOMATICA 1999»
15 years 6 months ago
Robust L2-gain control for nonlinear systems with projection dynamics and input constraints: an example from traffic control
We formulate the L2-gain control problem for a general nonlinear, state-space system with projection dynamics in the state evolution and hard constraints on the set of admissible ...
Joseph A. Ball, Martin V. Day, Tungsheng Yu, Pushk...
HICSS
2002
IEEE
111views Biometrics» more  HICSS 2002»
15 years 12 months ago
Intelligent Workflow Techniques for Distributed Group Facilitation
Distributed group facilitation techniques are becoming a necessity because many of the face-toface facilitation techniques are no longer suitable in a distributed environment. Alt...
Jay F. Nunamaker, J. Leon Zhao, Robert O. Briggs
FTDCS
1999
IEEE
15 years 11 months ago
PODC: Paradigm-Oriented Distributed Computing
We describe an environment for distributed computing that uses the concept of well-known paradigms. The main advantage of paradigmoriented distributed computing (PODC) is that the...
Hairong Kuang, Lubomir Bic, Michael B. Dillencourt...