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» Selective Attention Improves Learning
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96
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WECWIS
2007
IEEE
130views ECommerce» more  WECWIS 2007»
15 years 7 months ago
Improved Rules for the Resource Allocation Design
Iterative Combinatorial Auctions (ICA) have been getting increasing attention both from researchers and in practice as they can increase efficiency of complex markets with substi...
Pasha Shabalin, Bernd Laqua, Alexander Pikovsky
102
Voted
NECO
2008
112views more  NECO 2008»
15 years 18 days ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel
110
Voted
BMCBI
2006
142views more  BMCBI 2006»
15 years 21 days ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
ICNSC
2007
IEEE
15 years 7 months ago
Improved estimation for object localization via sensor networks
The paper addresses object localization via a distributed sensor network. A centralized estimation approach is undertaken along with a selective node activation strategy to ensure...
Alessio Benavoli, Luigi Chisci
CORR
2008
Springer
121views Education» more  CORR 2008»
15 years 22 days ago
Graph Algorithms for Improving Type-Logical Proof Search
Proof nets are a graph theoretical representation of proofs in various fragments of type-logical grammar. In spite of this basis in graph theory, there has been relatively little ...
Richard Moot