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» A Graph Based Data Model for Graphics Interpretation
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TSP
2010
13 years 1 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
VLDB
2002
ACM
264views Database» more  VLDB 2002»
13 years 6 months ago
Viator - A Tool Family for Graphical Networking and Data View Creation
Web-based data sources, particularly in Life Sciences, grow in diversity and volume. Most of the data collections are equipped with common document search, hyperlink and retrieval...
Stephan Heymann, Katja Tham, Axel Kilian, Gunnar W...
ACL
2010
13 years 4 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
SEMWEB
2001
Springer
13 years 11 months ago
Jena: Implementing the RDF Model and Syntax Specification
Some aspects of W3C's RDF Model and Syntax Specification require careful reading and interpretation to produce a conformant implementation. Issues have arisen around anonymou...
Brian McBride
AISC
2008
Springer
13 years 8 months ago
Extending Graphical Representations for Compact Closed Categories with Applications to Symbolic Quantum Computation
Graph-based formalisms of quantum computation provide an abstract and symbolic way to represent and simulate computations. However, manual manipulation of such graphs is slow and e...
Lucas Dixon, Ross Duncan