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AI
2002
Springer
15 years 3 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
MAM
2007
99views more  MAM 2007»
15 years 3 months ago
Laboratory-based calibration of available bandwidth estimation tools
Examining the validity or accuracy of proposed available bandwidth estimation tools remains a challenging problem. A common approach consists of evaluating a newly developed tool ...
Joel Sommers, Paul Barford, Walter Willinger
MANSCI
2007
169views more  MANSCI 2007»
15 years 3 months ago
Performance Contracting in After-Sales Service Supply Chains
Performance-based contracting is reshaping service support supply chains in capital intensive industries such as aerospace and defense. Known as Power by the Hour in the private s...
Sang-Hyun Kim, Morris A. Cohen, Serguei Netessine
BMCBI
2004
208views more  BMCBI 2004»
15 years 3 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
141
Voted
BMCBI
2004
133views more  BMCBI 2004»
15 years 3 months ago
Evaluation of several lightweight stochastic context-free grammars for RNA secondary structure prediction
Background: RNA secondary structure prediction methods based on probabilistic modeling can be developed using stochastic context-free grammars (SCFGs). Such methods can readily co...
Robin D. Dowell, Sean R. Eddy
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