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EVOW
2009
Springer
14 years 9 months ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...
EDBT
2010
ACM
188views Database» more  EDBT 2010»
15 years 6 months ago
Subsumption and complementation as data fusion operators
The goal of data fusion is to combine several representations of one real world object into a single, consistent representation, e.g., in data integration. A very popular operator...
Jens Bleiholder, Sascha Szott, Melanie Herschel, F...
74
Voted
ICDCS
2009
IEEE
15 years 8 months ago
Pushing the Envelope: Extreme Network Coding on the GPU
While it is well known that network coding achieves optimal flow rates in multicast sessions, its potential for practical use has remained to be a question, due to its high compu...
Hassan Shojania, Baochun Li
105
Voted
ISPD
2006
ACM
158views Hardware» more  ISPD 2006»
15 years 5 months ago
Effective linear programming based placement methods
Linear programming (LP) based methods are attractive for solving the placement problem because of their ability to model Half-Perimeter Wirelength (HPWL) and timing. However, it h...
Sherief Reda, Amit Chowdhary
196
Voted
SIGIR
2011
ACM
14 years 2 months ago
Faster top-k document retrieval using block-max indexes
Large search engines process thousands of queries per second over billions of documents, making query processing a major performance bottleneck. An important class of optimization...
Shuai Ding, Torsten Suel