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» Learning nonlinear dynamic models
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84
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AMAI
1999
Springer
15 years 12 days ago
Pattern recognition by an optical thin-film multilayer model
This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
Xiaodong Li, Martin K. Purvis
91
Voted
DATE
2007
IEEE
126views Hardware» more  DATE 2007»
15 years 7 months ago
WAVSTAN: waveform based variational static timing analysis
— We present a waveform based variational static timing analysis methodology. It is a timing paradigm that lies midway between convention static delay approximations and full dyn...
Saurabh K. Tiwary, Joel R. Phillips
IJCNN
2007
IEEE
15 years 7 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
98
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APPML
2006
61views more  APPML 2006»
15 years 23 days ago
On a mathematical model of immune competition
This work deals with the qualitative analysis of a nonlinear integro-differential model of immune competition with special attention to the dynamics of tumor cells contrasted by t...
C. Cattani, Alexandre G. Ciancio, B. Lods
JMLR
2006
113views more  JMLR 2006»
15 years 20 days ago
Learning the Structure of Linear Latent Variable Models
We describe anytime search procedures that (1) find disjoint subsets of recorded variables for which the members of each subset are d-separated by a single common unrecorded cause...
Ricardo Silva, Richard Scheines, Clark Glymour, Pe...