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ICML
2007
IEEE
16 years 8 months ago
Hierarchical Gaussian process latent variable models
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
Neil D. Lawrence, Andrew J. Moore
EMNLP
2010
15 years 5 months ago
A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages
We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the b...
Minh-Thang Luong, Preslav Nakov, Min-Yen Kan
CIKM
2011
Springer
14 years 7 months ago
Keyword search over RDF graphs
Large knowledge bases consisting of entities and relationships between them have become vital sources of information for many applications. Most of these knowledge bases adopt the...
Shady Elbassuoni, Roi Blanco
CDC
2009
IEEE
115views Control Systems» more  CDC 2009»
16 years 31 min ago
An error bound for model reduction of Lur'e-type systems
— In general, existing model reduction techniques for stable nonlinear systems lack a guarantee on stability of the reduced-order model, as well as an error bound. In this paper,...
Bart Besselink, Nathan van de Wouw, Henk Nijmeijer
EMNLP
2006
15 years 8 months ago
Competitive generative models with structure learning for NLP classification tasks
In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
Kristina Toutanova