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AAAI
2011
14 years 6 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
IPPS
2006
IEEE
16 years 10 days ago
Towards an analysis of race carrier conditions in real-time Java
The RTSJ memory model propose a mechanism based on a scope three containing all region-stacks in the system and a reference-counter collector. In order to avoid reference cycles a...
M. Teresa Higuera-Toledano
ARITH
1999
IEEE
15 years 10 months ago
Necessary and Sufficient Conditions for Parallel, Constant Time Conversion and Addition
This note presents necessary and sufficient conditions for parallel and constant time conversions from one digit-set into another, and thus also for constant time addition. In the...
Peter Kornerup
ESANN
2008
15 years 7 months ago
Conditional prediction of time series using spiral recurrent neural network
Frequently, sequences of state transitions are triggered by specific signals. Learning these triggered sequences with recurrent neural networks implies storing them as different at...
Huaien Gao, Rudolf Sollacher
SIAMNUM
2010
105views more  SIAMNUM 2010»
15 years 1 months ago
Convergence Analysis for Incompressible Generalized Newtonian Fluid Flows with Nonstandard Anisotropic Growth Conditions
We study equations to describe incompressible generalized Newtonian fluids, where the extra stress tensor satisfies a nonstandard anisotropic asymptotic growth condition. An implic...
Erich Carelli, Jonas Haehnle, Andreas Prohl