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ICML
2010
IEEE
13 years 8 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
ENTCS
2006
153views more  ENTCS 2006»
13 years 7 months ago
Towards Model Transformation in Generated Eclipse Editor Plug-Ins
With the growing importance of model-driven development, the ability of transforming models into well-defined semantic domains becomes a key to automated code generation or verifi...
Karsten Ehrig, Claudia Ermel, Stefan Hänsgen
ENTCS
2007
97views more  ENTCS 2007»
13 years 7 months ago
Can a Model Checker Generate Tests for Non-Deterministic Systems?
Modern software is increasingly concurrent, timed, distributed, and therefore, non-deterministic. While it is well known that tests can be generated as LTL or CTL model checker co...
Sergiy Boroday, Alexandre Petrenko, Roland Groz
IMR
2004
Springer
14 years 29 days ago
API for Grid Generation Over Topological Models
Topological representations are being used to define geometric models suitable for grid generation and grid generation tools are being developed that work directly on topological ...
S. Gopalsamy, Douglas H. Ross, Alan M. Shih
ACL
2010
13 years 5 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...