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BMCBI
2006
139views more  BMCBI 2006»
13 years 8 months ago
Improvement in accuracy of multiple sequence alignment using novel group-to-group sequence alignment algorithm with piecewise li
Background: Multiple sequence alignment (MSA) is a useful tool in bioinformatics. Although many MSA algorithms have been developed, there is still room for improvement in accuracy...
Shinsuke Yamada, Osamu Gotoh, Hayato Yamana
TEC
2012
197views Formal Methods» more  TEC 2012»
11 years 10 months ago
Improving Generalization Performance in Co-Evolutionary Learning
Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
Siang Yew Chong, Peter Tino, Day Chyi Ku, Xin Yao
DAC
2009
ACM
14 years 9 months ago
Improving STT MRAM storage density through smaller-than-worst-case transistor sizing
This paper presents a technique to improve the storage density of spin-torque transfer (STT) magnetoresistive random access memory (MRAM) in the presence of significant magnetic t...
Wei Xu, Yiran Chen, Xiaobin Wang, Tong Zhang
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
14 years 8 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
EUROSEC
2010
ACM
14 years 3 months ago
Improving the accuracy of network intrusion detection systems under load using selective packet discarding
Under conditions of heavy traffic load or sudden traffic bursts, the peak processing throughput of network intrusion detection systems (NIDS) may not be sufficient for inspecting ...
Antonis Papadogiannakis, Michalis Polychronakis, E...