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» Computing with Infinitely Many Processes
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ACSC
2008
IEEE
13 years 10 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
DLOG
2009
13 years 6 months ago
Revision of DL-Lite Knowledge Bases
Abstract. We address the revision problem for knowledge bases (KBs) in Description Logics (DLs). This problem has received much attention in the ontology management and DL communit...
Zhe Wang, Kewen Wang, Rodney W. Topor
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 6 months ago
Schaefer's theorem for graphs
Schaefer's theorem is a complexity classification result for so-called Boolean constraint satisfaction problems: it states that every Boolean constraint satisfaction problem ...
Manuel Bodirsky, Michael Pinsker
COCOA
2010
Springer
13 years 3 months ago
Termination of Multipartite Graph Series Arising from Complex Network Modelling
An intense activity is nowadays devoted to the definition of models capturing the properties of complex networks. Among the most promising approaches, it has been proposed to model...
Matthieu Latapy, Thi Ha Duong Phan, Christophe Cre...
NIPS
2007
13 years 10 months ago
Inferring Elapsed Time from Stochastic Neural Processes
Many perceptual processes and neural computations, such as speech recognition, motor control and learning, depend on the ability to measure and mark the passage of time. However, ...
Misha Ahrens, Maneesh Sahani