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» Concept Description Language for Statistical Data Modeling
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137
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PDSE
1998
131views more  PDSE 1998»
15 years 5 months ago
A Formally Founded Description Technique for Business Processes
As a means of modeling typical system behavior, we present a description technique for business processes derived from data flow nets and provide it with a formal semantics based ...
Veronika Thurner
148
Voted
CIVR
2006
Springer
219views Image Analysis» more  CIVR 2006»
15 years 7 months ago
Bayesian Learning of Hierarchical Multinomial Mixture Models of Concepts for Automatic Image Annotation
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Rui Shi, Tat-Seng Chua, Chin-Hui Lee, Sheng Gao
EMNLP
2007
15 years 5 months ago
Large Language Models in Machine Translation
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...
Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Jo...
138
Voted
ACL
2001
15 years 5 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
145
Voted
PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 10 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp