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JCP
2007
243views more  JCP 2007»
15 years 6 months ago
Adaptive-Gain Kinematic Filters of Orders 2-4
- The kinematic filter is a common tool in control and signal processing applications dealing with position, velocity and other kinematical variables. Usually the filter gain is gi...
Naum Chernoguz
IJAMCIGI
2010
90views more  IJAMCIGI 2010»
15 years 4 months ago
A Reinforcement Learning - Great-Deluge Hyper-Heuristic for Examination Timetabling
Hyper-heuristics are identified as the methodologies that search the space generated by a finite set of low level heuristics for solving difficult problems. One of the iterative h...
Ender Özcan, Mustafa Misir, Gabriela Ochoa, E...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 7 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
16 years 7 months ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei
RECOMB
2006
Springer
16 years 7 months ago
Simulating Protein Motions with Rigidity Analysis
Abstract. Protein motions, ranging from molecular flexibility to largescale conformational change, play an essential role in many biochemical processes. Despite the explosion in ou...
Shawna L. Thomas, Xinyu Tang, Lydia Tapia, Nancy M...