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» Modeling Rule Precision
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117
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IJCNN
2006
IEEE
15 years 8 months ago
Backpropagation for Population-Temporal Coded Spiking Neural Networks
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
Benjamin Schrauwen, Jan M. Van Campenhout
CIKM
2005
Springer
15 years 8 months ago
Maximal termsets as a query structuring mechanism
Search engines process queries conjunctively to restrict the size of the answer set. Further, it is not rare to observe a mismatch between the vocabulary used in the text of Web p...
Bruno Pôssas, Nivio Ziviani, Berthier A. Rib...
TCS
2002
15 years 2 months ago
ELAN from a rewriting logic point of view
ELAN implements computational systems, a concept that combines two first class entities: rewrite rules and rewriting strategies. ELAN can be used either as a logical framework or ...
Peter Borovanský, Claude Kirchner, Hé...
135
Voted
RULEML
2009
Springer
15 years 9 months ago
Correlating Business Events for Event-Triggered Rules
Abstract. Event processing rules may be prescribed in many different ways, including by finite state machines, graphical methods, ECA (event-conditionaction) rules or reactive rule...
Josef Schiefer, Hannes Obweger, Martin Suntinger
111
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CLIMA
2004
15 years 4 months ago
The Apriori Stochastic Dependency Detection (ASDD) Algorithm for Learning Stochastic Logic Rules
Apriori Stochastic Dependency Detection (ASDD) is an algorithm for fast induction of stochastic logic rules from a database of observations made by an agent situated in an environm...
Christopher Child, Kostas Stathis