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ACL
1998
15 years 7 months ago
Automatic Acquisition of Hierarchical Transduction Models for Machine Translation
We describe a method for the fully automatic learning of hierarchical finite state translation models. The input to the method is transcribed speech utterances and their correspon...
Hiyan Alshawi, Srinivas Bangalore, Shona Douglas
ENTCS
2006
127views more  ENTCS 2006»
15 years 6 months ago
Capability-Passing Processes
Capability passing processes model global applications in a way that decouples the global agreement aspects of protocols from the details of how the communications are actually ma...
Tom Chothia, Dominic Duggan
JANCL
2007
86views more  JANCL 2007»
15 years 6 months ago
Constructive knowledge: what agents can achieve under imperfect information
We propose a non-standard interpretation of Alternating-time Temporal Logic with imperfect information, for which no commonly accepted semantics has been proposed yet. Rather than ...
Wojciech Jamroga, Thomas Ågotnes
IJON
2000
86views more  IJON 2000»
15 years 6 months ago
Gain modulation of recurrent networks
Gain modulation is an important mechanism by which attentional and other inputs modify the amplitude of neuronal responses without changing their selectivity. Gain modulation has ...
Jian Zhang 0004, L. F. Abbott
CMSB
2010
Springer
15 years 1 months ago
Action-based analysis of discrete regulatory networks with short-term stimuli
To incorporate instant effects and different timescales within a single biological system, an extension of discrete regulatory networks with short-term stimuli is proposed. By mai...
Christian Krause, Carola Krause, Erik P. de Vink