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130
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PAMI
2008
162views more  PAMI 2008»
15 years 3 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
JFP
2010
142views more  JFP 2010»
15 years 1 months ago
Linear type theory for asynchronous session types
Session types support a type-theoretic formulation of structured patterns of communication, so that the communication behaviour of agents in a distributed system can be verified ...
Simon J. Gay, Vasco Thudichum Vasconcelos
128
Voted
ENTCS
2007
85views more  ENTCS 2007»
15 years 3 months ago
Inducing Constructor Systems from Example-Terms by Detecting Syntactical Regularities
We present a technique for inducing functional programs from few, well chosen input/output-examples (I/Oexamples). Potential applications for automatic program or algorithm induct...
Emanuel Kitzelmann, Ute Schmid
132
Voted
SIAMCO
2002
70views more  SIAMCO 2002»
15 years 3 months ago
Lossless and Dissipative Distributed Systems
This paper deals with linear shift-invariant distributed systems. By this we mean systems described by constant coefficient linear partial differential equations. We define dissipa...
Harish K. Pillai, Jan C. Willems
160
Voted
ISNN
2010
Springer
15 years 1 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He