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NAACL
2010
15 years 4 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 ...
EDM
2009
147views Data Mining» more  EDM 2009»
15 years 4 months ago
Using Dirichlet priors to improve model parameter plausibility
Student modeling is a widely used approach to make inference about a student's attributes like knowledge, learning, etc. If we wish to use these models to analyze and better u...
Dovan Rai, Yue Gong, Joseph Beck
ICASSP
2011
IEEE
14 years 10 months ago
Clustering of bootstrapped acoustic model with full covariance
HMM-based acoustic models built from bootstrap are generally very large, especially when full covariance matrices are used for Gaussians. Therefore, clustering is needed to compac...
Xin Chen, Xiaodong Cui, Jian Xue, Peder Olsen, Joh...
CVPR
2009
IEEE
17 years 1 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
ICSE
2008
IEEE-ACM
16 years 7 months ago
An integrated aspect-oriented model-driven software product line tool suite
Software product line engineering is mostly about the systematic management of commonality and variability between product line members. The effectiveness of this approach thus ve...
Christa Schwanninger, Iris Groher, Markus Völ...