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BMCBI
2011
14 years 10 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...
FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 10 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
HPDC
1996
IEEE
15 years 11 months ago
A Federated Model for Scheduling in Wide-Area Systems
In this paper a model for scheduling in wide-area systems is described. The model is federated and utilizes a collection of local site schedulers that control the use of their res...
Jon B. Weissman, Andrew S. Grimshaw
SKG
2006
IEEE
16 years 24 days ago
A Data Mining Approach Based on Grey Prediction Model in Web Environment
This paper proposes a prediction approach that combines grey prediction model with three-layer computing architecture in Web environment. It presents a refined prediction formula ...
Hui Peng
CLADE
2003
IEEE
16 years 3 days ago
Issues in Runtime Algorithm Selection for Grid Environments
The heterogeneity and unpredictability of grid computing environments is a severe challenge to algorithm selection for large-scale scientific codes. This paper discusses a set of ...
Prachi Bora, Calvin J. Ribbens, Sandeep Prabhakar,...