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191
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JMLR
2010
143views more  JMLR 2010»
15 years 18 days ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
ICMT
2009
Springer
16 years 11 days ago
Automatic Model Generation Strategies for Model Transformation Testing
Testing model transformations requires input models which are graphs of inter-connected objects that must conform to a meta-model and meta-constraints from heterogeneous sources su...
Sagar Sen, Benoit Baudry, Jean-Marie Mottu
161
Voted
CODES
1999
IEEE
15 years 10 months ago
How standards will enable hardware/software co-design
o much higher levels of abstraction than today's design practices, which are usually at the level of synthesizable RTL for custom hardware or Instruction Set Simulator (ISS) f...
Mark Genoe, Christopher K. Lennard, Joachim Kunkel...
TON
2012
13 years 8 months ago
Static Routing and Wavelength Assignment for Multicast Advance Reservation in All-Optical Wavelength-Routed WDM Networks
—In this paper we investigate the static multicast advance reservation (MCAR) problem for all-optical wavelengthrouted WDM networks. Under the advanced reservation traffic model...
Neal Charbonneau, Vinod Vokkarane
164
Voted
COLT
2004
Springer
15 years 11 months ago
Replacing Limit Learners with Equally Powerful One-Shot Query Learners
Different formal learning models address different aspects of human learning. Below we compare Gold-style learning—interpreting learning as a limiting process in which the lear...
Steffen Lange, Sandra Zilles