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BMCBI
2011
14 years 6 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
ESWA
2007
146views more  ESWA 2007»
15 years 3 months ago
A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...
Chih-Hung Wu, Gwo-Hshiung Tzeng, Yeong-Jia Goo, We...
STDBM
2004
Springer
127views Database» more  STDBM 2004»
15 years 8 months ago
Condition Evaluation for Speculative Systems: a Streaming Time Series Case
Application systems often need to react with certain actions whenever some preset conditions are satisfied. In many cases, the evaluation of these conditions takes long time, but...
Xiaoyang Sean Wang, Like Gao, Min Wang
FTCGV
2011
122views more  FTCGV 2011»
14 years 6 months ago
Structured Learning and Prediction in Computer Vision
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
Sebastian Nowozin, Christoph H. Lampert
ACSW
2007
15 years 4 months ago
The Semantic Reef: Managing Complex Knowledge to Predict Coral Bleaching on the Great Barrier Reef
A semantically driven Virtual Organisation (VO) model for predicting important events for coral reefs is presented – the Semantic Reef. The model is an application of a Semantic...
Trina S. Myers, Ian M. Atkinson, William J. Lavery