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ACL
2009
13 years 3 months ago
Sentence diagram generation using dependency parsing
Dependency parsers show syntactic relations between words using a directed graph, but comparing dependency parsers is difficult because of differences in theoretical models. We de...
Elijah Mayfield
SEKE
2004
Springer
13 years 10 months ago
UCDA: Use Case Driven Development Assistant Tool for Class Model Generation
The development of class models using the Rational Unified Process (RUP) requires complete, correct and unambiguous use case specification documents. The Use Case Driven Developmen...
Kalaivani Subramaniam, Dong Liu, Behrouz Homayoun ...
ICML
2010
IEEE
13 years 6 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
ICCV
2007
IEEE
14 years 7 months ago
Object Localisation Using Generative Probability Model for Spatial Constellation and Local Image Features
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probabil...
Joni-Kristian Kamarainen, Miroslav Hamouz, Josef K...
ISMB
1993
13 years 6 months ago
Knowledge-Based Generation of Machine-Learning Experiments: Learning with DNA Crystallography Data
Thoughit has been possible in the past to learn to predict DNAhydration patterns from crystallographic data, there is ambiguity in the choice of training data (both in terms of th...
Dawn M. Cohen, Casimir A. Kulikowski, Helen Berman