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» Automated neuron model optimization techniques: a review
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QEST
2007
IEEE
14 years 2 months ago
Automated Analysis of Simulation Traces - Separating Progress from Repetitive Behavior
Among the many stages of a simulation study, debugging a simulation model is the one that is hardly reported on but that may consume a considerable amount of time and effort. In t...
Peter Kemper, Carsten Tepper
NIPS
1994
13 years 9 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
JSS
2010
136views more  JSS 2010»
13 years 3 months ago
Automated diagnosis of feature model configurations
Software product-lines (SPLs) are software architectures that can be readily reconfigured for different project requirements. A key part of an SPL is a model that captures the rul...
Jules White, David Benavides, Douglas C. Schmidt, ...
ISMIR
2001
Springer
262views Music» more  ISMIR 2001»
14 years 25 days ago
Automated Rhythm Transcription
We present a technique that, given a sequence of musical note onset times, performs simultaneous identi cation of the notated rhythm and the variable tempo associated with the tim...
Christopher Raphael
TSE
2010
132views more  TSE 2010»
13 years 3 months ago
ASCENT: An Algorithmic Technique for Designing Hardware and Software in Tandem
Search-based software engineering is an emerging paradigm that uses automated search algorithms to help designers iteratively find solutions to complicated design problems. For exa...
Jules White, Brian Doughtery, Douglas C. Schmidt