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ACL
2010
13 years 5 months ago
Discriminative Modeling of Extraction Sets for Machine Translation
We present a discriminative model that directly predicts which set of phrasal translation rules should be extracted from a sentence pair. Our model scores extraction sets: nested ...
John DeNero, Dan Klein
JMLR
2010
95views more  JMLR 2010»
13 years 2 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
ASM
2005
ASM
14 years 1 months ago
Time in State Machines
State machines are considered a very general means of expressing computations in an implementation-independent way. There are also ways to extend the general state machine framewor...
Susanne Graf, Andreas Prinz
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
14 years 2 months ago
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines
We present and discuss several spatiotemporal kernels designed to mine real-life and simulated data in support of drought prediction. We implement and empirically validate these k...
Matthew W. Collier, Amy McGovern
MST
2008
157views more  MST 2008»
13 years 7 months ago
Optimal On-Line Algorithms to Minimize Makespan on Two Machines with Resource Augmentation
We study the problem of on-line scheduling on two uniformly related machines where the on-line algorithm has resources different from those of the off-line algorithm. We consider ...
Leah Epstein, Arik Ganot