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» Model Combination for Machine Translation
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ICASSP
2009
IEEE
15 years 9 months ago
Support vector machines and Joint Factor Analysis for speaker verification
This article presents several techniques to combine between Support vector machines (SVM) and Joint Factor Analysis (JFA) model for speaker verification. In this combination, the...
Najim Dehak, Patrick Kenny, Réda Dehak, Ond...
119
Voted
ACL
2008
15 years 4 months ago
Efficient Multi-Pass Decoding for Synchronous Context Free Grammars
We take a multi-pass approach to machine translation decoding when using synchronous context-free grammars as the translation model and n-gram language models: the first pass uses...
Hao Zhang, Daniel Gildea
BMCBI
2008
220views more  BMCBI 2008»
15 years 2 months 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...
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 2 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
130
Voted
AMW
2009
15 years 3 months ago
Bi-Level Mapping: Combining Schema and Data Level Heterogeneity in Peer Data Sharing Systems
Abstract. Peer data sharing systems use either schema-level or data-level mappings to resolve schema as well as data heterogeneity among data sources (peers). Schema-level mappings...
Md. Anisur Rahman, Mehedi Masud, Iluju Kiringa, Ab...