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» Analog Computation Via Neural Networks
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IJCNN
2006
IEEE
14 years 1 months ago
Model Selection via Bilevel Optimization
— A key step in many statistical learning methods used in machine learning involves solving a convex optimization problem containing one or more hyper-parameters that must be sel...
Kristin P. Bennett, Jing Hu, Xiaoyun Ji, Gautam Ku...
IJCNN
2008
IEEE
14 years 2 months ago
Stable reciprocal image associations in cognitive systems
—Sensory inputs such as visual images or audio spectrograms can act as symbols in a new cognitive model. The stability of direct image association operators allows the discrete b...
Douglas S. Greer
SETN
2004
Springer
14 years 1 months ago
A Meta-classifier Approach for Medical Diagnosis
Abstract. Single classifiers, such as Neural Networks, Support Vector Machines, Decision Trees and other, can be used to perform classification of data for relatively simple proble...
George L. Tsirogiannis, Dimitrios S. Frossyniotis,...
DCOSS
2006
Springer
13 years 11 months ago
Evaluating Local Contributions to Global Performance in Wireless Sensor and Actuator Networks
Wireless sensor networks are often studied with the goal of removing information from the network as efficiently as possible. However, when the application also includes an actuato...
Christopher J. Rozell, Don H. Johnson
BMCBI
2005
122views more  BMCBI 2005»
13 years 7 months ago
A neural strategy for the inference of SH3 domain-peptide interaction specificity
Background: The SH3 domain family is one of the most representative and widely studied cases of so-called Peptide Recognition Modules (PRM). The polyproline II motif PxxP that gen...
Enrico Ferraro, Allegra Via, Gabriele Ausiello, Ma...