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PKDD
1999
Springer
90views Data Mining» more  PKDD 1999»
15 years 10 months ago
Learning from Highly Structured Data by Decomposition
This paper addresses the problem of learning from highly structured data. Speci cally, it describes a procedure, called decomposition, that allows a learner to access automatically...
René MacKinney-Romero, Christophe G. Giraud...
ACSD
2001
IEEE
121views Hardware» more  ACSD 2001»
15 years 9 months ago
A structural encoding technique for the synthesis of asynchronous circuits
This paper presents a method for the automatic synthesis of asynchronous circuits from Petri net specifications. The method is based on a structural encoding of the system in such ...
Josep Carmona, Jordi Cortadella, Enric Pastor
DAC
2009
ACM
15 years 9 months ago
GPU friendly fast Poisson solver for structured power grid network analysis
In this paper, we propose a novel simulation algorithm for large scale structured power grid networks. The new method formulates the traditional linear system as a special two-dim...
Jin Shi, Yici Cai, Wenting Hou, Liwei Ma, Sheldon ...
ACL
1998
15 years 7 months ago
Modeling with Structures in Statistical Machine Translation
Most statistical machine translation systems employ a word-based alignment model. In this paper we demonstrate that word-based alignment is a major cause of translation errors. We...
Ye-Yi Wang, Alex Waibel
NIPS
1993
15 years 7 months ago
Structural and Behavioral Evolution of Recurrent Networks
This paper introduces GNARL, an evolutionary program which induces recurrent neural networks that are structurally unconstrained. In contrast to constructive and destructive algor...
Gregory M. Saunders, Peter J. Angeline, Jordan B. ...