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COLING
2010
14 years 7 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
BMCBI
2008
220views more  BMCBI 2008»
15 years 26 days ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
114
Voted
CSFW
2009
IEEE
15 years 7 months ago
More Anonymous Onion Routing Through Trust
We consider using trust information to improve the anonymity provided by onion-routing networks. In particular, we introduce a model of trust in network nodes and use it to design...
Aaron Johnson, Paul F. Syverson
116
Voted
CORR
2008
Springer
131views Education» more  CORR 2008»
15 years 25 days ago
Jamming in Fixed-Rate Wireless Systems with Power Constraints - Part I: Fast Fading Channels
This is the first part of a two-part paper that studies the problem of jamming in a fixed-rate transmission system with fading, under the general assumption that the jammer has no...
George T. Amariucai, Shuangqing Wei
85
Voted
ICML
2004
IEEE
16 years 1 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...