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» A Neural Network Model for Trace Conditioning
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NIPS
1997
13 years 10 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
BMCBI
2010
118views more  BMCBI 2010»
13 years 8 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
IJON
2007
85views more  IJON 2007»
13 years 8 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls
MVA
2007
153views Computer Vision» more  MVA 2007»
13 years 8 months ago
An image-based feature tracking algorithm for real-time measurement of clad height
This paper presents a novel algorithm for real-time detection of clad height in laser cladding which is known as a layered manufacturing technique. A realtime measurement of clad g...
Mehrdad Iravani-Tabrizipour, Ehsan Toyserkani
ICONIP
2010
13 years 7 months ago
Learning Shapes Bifurcations of Neural Dynamics upon External Stimuli
Memory is often considered to be embedded into one of the attractors in neural dynamical systems, which provides an appropriate output depending on the initial state specified by ...
Tomoki Kurikawa, Kunihiko Kaneko