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AI
2002
Springer
13 years 8 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
BMCBI
2004
126views more  BMCBI 2004»
13 years 8 months ago
A probabilistic model for the evolution of RNA structure
Background: For the purposes of finding and aligning noncoding RNA gene- and cis-regulatory elements in multiple-genome datasets, it is useful to be able to derive multi-sequence ...
Ian Holmes
COMCOM
2004
127views more  COMCOM 2004»
13 years 8 months ago
Traffic splitting in a network: split traffic models and applications
The contemporary high-speed networks, e.g. the Internet and asynchronous transfer mode (ATM) networks provide a convenient and cost-effective communication platform to carry the e...
Huei-Wen Ferng, Cheng-Ching Peng
IJPRAI
2000
62views more  IJPRAI 2000»
13 years 8 months ago
Knowledge-Guided Classification of Coastal Zone Color Images Off the West Florida Shelf
Abstract A knowledge-guided approach to automatic classification of Coastal Zone Color images of the West Florida Shelf is described. The approach is used to identify red tides on ...
Mingrui Zhang, Lawrence O. Hall, Dmitry B. Goldgof...
MST
2000
57views more  MST 2000»
13 years 8 months ago
On Scheduling Parallel Tasks at Twilight
We consider the problem of processing a given number of tasks on a given number of processors as quickly as possible when only vague information about the processing time of a task...
Hannah Bast
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