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» Computationally Efficient Transductive Machines
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NIPS
1998
13 years 9 months ago
Semi-Supervised Support Vector Machines
We introduce a semi-supervised support vector machine (S3 VM) method. Given a training set of labeled data and a working set of unlabeled data, S3 VM constructs a support vector m...
Kristin P. Bennett, Ayhan Demiriz
PDP
2010
IEEE
13 years 12 months ago
Efficient Distribution of Virtual Machines for Cloud Computing
The commercial success of Cloud computing and recent developments in Grid computing have brought platform virtualization technology into the field of high performance computing. Vi...
Matthias Schmidt, Niels Fallenbeck, Matthew Smith,...
EMNLP
2009
13 years 5 months ago
Graphical Models over Multiple Strings
We study graphical modeling in the case of stringvalued random variables. Whereas a weighted finite-state transducer can model the probabilistic relationship between two strings, ...
Markus Dreyer, Jason Eisner
ACTA
2006
74views more  ACTA 2006»
13 years 7 months ago
Linearly bounded infinite graphs
Linearly bounded Turing machines have been mainly studied as acceptors for context-sensitive languages. We define a natural family of canonical infinite automata representing their...
Arnaud Carayol, Antoine Meyer
ACL
2009
13 years 5 months ago
Better Word Alignments with Supervised ITG Models
This work investigates supervised word alignment methods that exploit inversion transduction grammar (ITG) constraints. We consider maximum margin and conditional likelihood objec...
Aria Haghighi, John Blitzer, John DeNero, Dan Klei...