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» A scalable method for the generation of small test sets
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ICASSP
2011
IEEE
12 years 10 months ago
Template-based methods for sentence generation and speech synthesis
Here we propose a sentence-generation method using templates that can be applied to create a speech database. This method requires the recording of a relatively small sentence set...
Hiroyuki Segi, Reiko Takou, Nobumasa Seiyama, Tohr...
ICML
2005
IEEE
14 years 7 months ago
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning
Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
Xiaojin Zhu, John D. Lafferty
KBSE
2007
IEEE
14 years 1 months ago
Scalable automatic test data generation from modeling diagrams
We explore the automatic generation of test data that respect constraints expressed in the Object-Role Modeling (ORM) language. ORM is a popular conceptual modeling language, prim...
Yannis Smaragdakis, Christoph Csallner, Ranjith Su...
ISQED
2002
IEEE
203views Hardware» more  ISQED 2002»
13 years 12 months ago
Automatic Test Program Generation from RT-Level Microprocessor Descriptions
The paper addresses the issue of microprocessor and microcontroller testing, and follows an approach based on the generation of a test program. The proposed method relies on two p...
Fulvio Corno, Gianluca Cumani, Matteo Sonza Reorda...
ICML
2007
IEEE
14 years 7 months ago
Minimum reference set based feature selection for small sample classifications
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
Xue-wen Chen, Jong Cheol Jeong