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» The Predictability of Data Values
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BMCBI
2007
160views more  BMCBI 2007»
15 years 7 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
ICCD
2004
IEEE
114views Hardware» more  ICCD 2004»
16 years 3 months ago
Low Energy, Highly-Associative Cache Design for Embedded Processors
Many embedded processors use highly associative data caches implemented using a CAM-based tag search. When high-associativity is desirable, CAM designs can offer performance advan...
Alexander V. Veidenbaum, Dan Nicolaescu
JSS
2008
97views more  JSS 2008»
15 years 6 months ago
Proactive and reactive multi-dimensional histogram maintenance for selectivity estimation
Many state-of-the-art selectivity estimation methods use query feedback to maintain histogram buckets, thereby using the limited memory efficiently. However, they are "reacti...
Zhen He, Byung Suk Lee, Xiaoyang Sean Wang
ICDE
2008
IEEE
137views Database» more  ICDE 2008»
16 years 8 months ago
Stop Chasing Trends: Discovering High Order Models in Evolving Data
Abstract-- Many applications are driven by evolving data -patterns in web traffic, program execution traces, network event logs, etc., are often non-stationary. Building prediction...
Shixi Chen, Haixun Wang, Shuigeng Zhou, Philip S. ...
201
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IJCNN
2008
IEEE
16 years 1 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...