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» Using Machine Learning to Focus Iterative Optimization
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GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 3 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
166
Voted
IC
2003
15 years 4 months ago
Remote Real Laboratory: Linux Installation and Configuration
: Remote real laboratories deal with performing real lab experiments remotely via Internet. Recent advances in Internet/web technologies and computer-controlled instrumentation all...
Alassane Diop, Amine Berqia, Jürgen Harms
146
Voted
TREC
2004
15 years 4 months ago
Juru at TREC 2004: Experiments with Prediction of Query Difficulty
Our experiments in the Robust track this year focused on predicting query difficulty and using this prediction for improving information retrieval. We developed two prediction alg...
Elad Yom-Tov, Shai Fine, David Carmel, Adam Darlow...
131
Voted
ICCPOL
2009
Springer
15 years 17 days ago
A Simple and Efficient Model Pruning Method for Conditional Random Fields
Conditional random fields (CRFs) have been quite successful in various machine learning tasks. However, as larger and larger data become acceptable for the current computational ma...
Hai Zhao, Chunyu Kit
182
Voted
EUROCON
2011
281views Hardware» more  EUROCON 2011»
14 years 6 months ago
Browsing videos by automatically detected audio events
—This paper focuses on Audio Event Detection (AED), a research area which aims to substantially enhance the access to audio in multimedia content. With the ever-growing quantity ...
Virginia Barbosa, Thomas Pellegrini, Miguel Bugalh...