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NN
2010
Springer
225views Neural Networks» more  NN 2010»
13 years 6 months ago
Learning to imitate stochastic time series in a compositional way by chaos
This study shows that a mixture of RNN experts model can acquire the ability to generate sequences that are combination of multiple primitive patterns by means of self-organizing ...
Jun Namikawa, Jun Tani
PERVASIVE
2011
Springer
12 years 10 months ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...
IOR
2008
109views more  IOR 2008»
13 years 7 months ago
Polynomial-Time Algorithms for Stochastic Uncapacitated Lot-Sizing Problems
In 1958, Wagner and Whitin published a seminal paper on the deterministic uncapacitated lot-sizing problem, a fundamental model that is embedded in many practical production plann...
Yongpei Guan, Andrew J. Miller
COLING
2008
13 years 9 months ago
Modeling the Structure and Dynamics of the Consonant Inventories: A Complex Network Approach
We study the self-organization of the consonant inventories through a complex network approach. We observe that the distribution of occurrence as well as cooccurrence of the conso...
Animesh Mukherjee, Monojit Choudhury, Anupam Basu,...
ICONIP
2004
13 years 9 months ago
Modeling Gene Regulatory Network in Fission Yeast Cell Cycle Using Hybrid Petri Nets
The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
Ranjith Vasireddy, Somenath Biswas