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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 4 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
RECOMB
2001
Springer
15 years 2 months ago
Extracting structural information using time-frequency analysis of protein NMR data
High-throughput, data-directed computational protocols for Structural Genomics (or Proteomics) are required in order to evaluate the protein products of genes for structure and fu...
Christopher James Langmead, Bruce Randall Donald
ECML
1997
Springer
15 years 2 months ago
Parallel and Distributed Search for Structure in Multivariate Time Series
Abstract. E cient data mining algorithms are crucial fore ective knowledge discovery. We present the Multi-Stream Dependency Detection (msdd) data mining algorithm that performs a ...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
TROB
2008
106views more  TROB 2008»
14 years 9 months ago
Discovering Higher Level Structure in Visual SLAM
We describe a novel method for discovering and incorporating higher level map structure in a real-time visual SLAM system. Previous approaches use sparse maps, populated by isolate...
Andrew P. Gee, Denis Chekhlov, Andrew Calway, Walt...
ATAL
2008
Springer
14 years 11 months ago
Discovering tactical behavior patterns supported by topological structures in soccer agent domains
Behaviors in soccer-agent domains can involve individual plays, several players involved in tactical plays or the whole team trying to follow strategies supported by specific form...
Fernando Ramos, Huberto Ayanegui