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IJCNN
2006
IEEE
15 years 8 months ago
Pattern Selection for Support Vector Regression based on Sparseness and Variability
— Support Vector Machine has been well received in machine learning community with its theoretical as well as practical value. However, since its training time complexity is cubi...
Jiyoung Sun, Sungzoon Cho
CORR
2008
Springer
153views Education» more  CORR 2008»
15 years 2 months ago
Decomposition Techniques for Subgraph Matching
In the constraint programming framework, state-of-the-art static and dynamic decomposition techniques are hard to apply to problems with complete initial constraint graphs. For suc...
Stéphane Zampelli, Martin Mann, Yves Devill...
89
Voted
ICANN
2009
Springer
15 years 9 months ago
Evolving Memory Cell Structures for Sequence Learning
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Justin Bayer, Daan Wierstra, Julian Togelius, J&uu...
BMCBI
2008
131views more  BMCBI 2008»
15 years 2 months ago
Modifying the DPClus algorithm for identifying protein complexes based on new topological structures
Background: Identification of protein complexes is crucial for understanding principles of cellular organization and functions. As the size of protein-protein interaction set incr...
Min Li, Jianer Chen, Jianxin Wang, Bin Hu, Gang Ch...
113
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SP
2002
IEEE
109views Security Privacy» more  SP 2002»
15 years 2 months ago
Scalable atomistic simulation algorithms for materials research
A suite of scalable atomistic simulation programs has been developed for materials research based on space-time multiresolution algorithms. Design and analysis of parallel algorit...
Aiichiro Nakano, Rajiv K. Kalia, Priya Vashishta, ...