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NETWORKS
2010
15 years 4 months ago
Probabilistic models for the Steiner Tree problem
We consider a probabilistic model for the Steiner Tree problem. Under this model the problem is defined in a 2-stage setting over a first-stage complete weighted graph having it...
Vangelis Th. Paschos, Orestis Telelis, Vassilis Zi...
NN
2006
Springer
114views Neural Networks» more  NN 2006»
15 years 6 months ago
Modular learning models in forecasting natural phenomena
Modular model is a particular type of committee machine and is comprised of a set of specialized (local) models each of which is responsible for a particular region of the input s...
Dimitri P. Solomatine, Michael Baskara L. A. Siek
NOLISP
2007
Springer
16 years 14 days ago
Trajectory Mixture Density Networks with Multiple Mixtures for Acoustic-Articulatory Inversion
We have previously proposed a trajectory model which is based on a mixture density network (MDN) trained with target variables augmented with dynamic features together with an algo...
Korin Richmond
JSAC
2006
199views more  JSAC 2006»
15 years 6 months ago
IDES: An Internet Distance Estimation Service for Large Networks
The responsiveness of networked applications is limited by communications delays, making network distance an important parameter in optimizing the choice of communications peers. S...
Yun Mao, Lawrence K. Saul, Jonathan M. Smith
CORR
2010
Springer
150views Education» more  CORR 2010»
15 years 6 months ago
Existence and Global Logarithmic Stability of Impulsive Neural Networks with Time Delay
The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biologi...
A. K. Ojha, Dushmanta Mallick, C. Mallick