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NIPS
2004
13 years 11 months ago
Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters
The representation of acoustic signals at the cochlear nerve must serve a wide range of auditory tasks that require exquisite sensitivity in both time and frequency. Lewicki (2002...
Evan C. Smith, Michael S. Lewicki
ICANN
2001
Springer
14 years 2 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
ICIP
2007
IEEE
14 years 4 months ago
Automatic Measures for Predicting Performance in Off-Line Signature
Performance in terms of accuracy is one of the most important goal of a biometric system. Hence, having a measure which is able to predict the performance with respect to a partic...
Fernando Alonso-Fernandez, Michael C. Fairhurst, J...
ESANN
2008
13 years 11 months ago
Selection of important input variables for RBF network using partial derivatives
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
Jarkko Tikka, Jaakko Hollmén
ICSE
2010
IEEE-ACM
14 years 1 months ago
Collaborative reliability prediction of service-oriented systems
Service-oriented architecture (SOA) is becoming a major software framework for building complex distributed systems. Reliability of the service-oriented systems heavily depends on...
Zibin Zheng, Michael R. Lyu