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NN
1998
Springer
156views Neural Networks» more  NN 1998»
13 years 7 months ago
Automatic early stopping using cross validation: quantifying the criteria
Cross validation can be used to detect when over tting starts during supervised training of a neural network; training is then stopped before convergence to avoid the overtting  ...
Lutz Prechelt
IPMU
2010
Springer
13 years 6 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek
JOI
2010
101views more  JOI 2010»
13 years 6 months ago
Can epidemic models describe the diffusion of topics across disciplines?
This paper introduces a new approach to describe the spread of research topics across disciplines using epidemic models. The approach is based on applying individual-based models ...
Istvan Z. Kiss, Mark Broom, Paul G. Craze, Ismael ...
FLAIRS
2009
13 years 5 months ago
Multiagent Bayesian Forecasting of Time Series with Graphical Models
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
Yang Xiang, James Smith, Jeff Kroes
INFOCOM
1997
IEEE
13 years 12 months ago
Performance Analysis of Generalized Multihop Shuffle Networks
This paper describes the performance analysis of a class of two-connected multihop shuflenets, known as generalized shufle networks. The topology of such networks is described mat...
Chiang-Ling Ng, Seung-Woo Seo, Hisashi Kobayashi