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» Technologies for Integrating Biological Data
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AAAI
1993
15 years 8 months ago
Scientific Model-Building as Search in Matrix Spaces
Many reported discovery systems build discrete models of hidden structure, properties, or processes in the diverse fields of biology, chemistry, and physics. We show that the sear...
Raúl E. Valdés-Pérez, Jan M. ...
ENGL
2008
142views more  ENGL 2008»
15 years 6 months ago
A Solid-State Neuron for Spiking Neural Network Implementation
This paper presents a compact analog neuron cell incorporating an array of charge-coupled synapses connected via a common output terminal. The novel silicon synapse is based on a t...
Yajie Chen, Steve Hall, Liam McDaid, Octavian Buiu...
JMLR
2006
156views more  JMLR 2006»
15 years 6 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
BVAI
2007
Springer
16 years 23 days ago
Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering
Correlation analysis of neuronal spiking activity relies on the availability of distributions for assessing significance. At present, these distributions can only be created by su...
Antonio Pazienti, Markus Diesmann, Sonja Grün
NCA
2006
IEEE
15 years 6 months ago
Analysing the localisation sites of proteins through neural networks ensembles
Scientists involved in the area of proteomics are currently seeking integrated, customised and validated research solutions to better expedite their work in proteomics analyses and...
Aristoklis D. Anastasiadis, George D. Magoulas