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EMNLP
2007
15 years 8 months ago
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach
This paper proposes a framework for semi-supervised structured output learning (SOL), specifically for sequence labeling, based on a hybrid generative and discriminative approach...
Jun Suzuki, Akinori Fujino, Hideki Isozaki
NIPS
2008
15 years 8 months ago
Generative versus discriminative training of RBMs for classification of fMRI images
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
ADBIS
2006
Springer
109views Database» more  ADBIS 2006»
16 years 15 days ago
Content Is Capricious: A Case for Dynamic System Generation
Abstract. Database modeling is based on the assumption of a high regularity of its application areas, an assumption which applies to both the structure of data and the behavior of ...
Hans-Werner Sehring, Sebastian Bossung, Joachim W....
ICSE
2008
IEEE-ACM
16 years 7 months ago
Using JULE to generate a compliance test suite for the UML standard
The Java-UML Lightweight Enumerator (JULE) tool implements a vitally important aspect of the framework for software tool certification - test suite generation. The framework uses ...
Panuchart Bunyakiati, Anthony Finkelstein, James S...
ACL
2007
15 years 8 months ago
Generating Complex Morphology for Machine Translation
We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...
Einat Minkov, Kristina Toutanova, Hisami Suzuki