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NAACL
2010
13 years 3 months ago
Model Combination for Machine Translation
Machine translation benefits from two types of decoding techniques: consensus decoding over multiple hypotheses under a single model and system combination over hypotheses from di...
John DeNero, Shankar Kumar, Ciprian Chelba, Franz ...
IDA
2003
Springer
13 years 11 months ago
Learning Dynamic Bayesian Networks from Multivariate Time Series with Changing Dependencies
Abstract. Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any mode...
Allan Tucker, Xiaohui Liu
JMLR
2006
118views more  JMLR 2006»
13 years 5 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
DASFAA
2005
IEEE
209views Database» more  DASFAA 2005»
13 years 11 months ago
PADS: Protein Structure Alignment Using Directional Shape Signatures
A novel approach for similarity search on the protein structure databases is proposed. PADS (Protein Alignment by Directional shape Signatures) incorporates the three dimensional ...
S. Alireza Aghili, Divyakant Agrawal, Amr El Abbad...
BMCBI
2010
120views more  BMCBI 2010»
13 years 5 months ago
Estimating true evolutionary distances under rearrangements, duplications, and losses
Background: The rapidly increasing availability of whole-genome sequences has enabled the study of whole-genome evolution. Evolutionary mechanisms based on genome rearrangements h...
Yu Lin, Vaibhav Rajan, Krister M. Swenson, Bernard...