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ICDE
2007
IEEE
176views Database» more  ICDE 2007»
14 years 2 months ago
Finding Important People in Large News Video Databases Using Multimodal and Clustering Analysis
The wide availability of large scale databases requires more efficient and scalable tools for data understanding and knowledge discovery. In this paper, we present a method to ...
Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle, Da...
RECOMB
2005
Springer
14 years 8 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
NIPS
1998
13 years 9 months ago
An Entropic Estimator for Structure Discovery
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Matthew Brand
BMCBI
2006
159views more  BMCBI 2006»
13 years 8 months ago
EVEREST: automatic identification and classification of protein domains in all protein sequences
Background: Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Wherea...
Elon Portugaly, Amir Harel, Nathan Linial, Michal ...
ACL
2010
13 years 6 months ago
Efficient Inference through Cascades of Weighted Tree Transducers
Weighted tree transducers have been proposed as useful formal models for representing syntactic natural language processing applications, but there has been little description of ...
Jonathan May, Kevin Knight, Heiko Vogler