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SDM
2004
SIAM
214views Data Mining» more  SDM 2004»
15 years 8 months ago
Making Time-Series Classification More Accurate Using Learned Constraints
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
Chotirat (Ann) Ratanamahatana, Eamonn J. Keogh
ICDM
2010
IEEE
115views Data Mining» more  ICDM 2010»
15 years 4 months ago
Polishing the Right Apple: Anytime Classification Also Benefits Data Streams with Constant Arrival Times
Classification of items taken from data streams requires algorithms that operate in time sensitive and computationally constrained environments. Often, the available time for class...
Jin Shieh, Eamonn J. Keogh
ICC
2007
IEEE
130views Communications» more  ICC 2007»
16 years 28 days ago
A Distributed Scheme for Responsive Network Engineering
— Optimal bandwidth utilisation together with resilience and recovery from failure are two key drivers for Traffic Engineering (TE) which have been widely addressed by the IP co...
Johannes Göbel, Anthony E. Krzesinski, Dieter...
GECCO
2003
Springer
129views Optimization» more  GECCO 2003»
15 years 11 months ago
Inherent Fault Tolerance in Evolved Sorting Networks
This poster paper summarizes our research on fault tolerance arising as a by-product of the evolutionary computation process. Past research has shown evidence of robustness emergin...
Rob Shepherd, James A. Foster
BMCBI
2006
127views more  BMCBI 2006»
15 years 6 months ago
On the attenuation and amplification of molecular noise in genetic regulatory networks
Background: Noise has many important roles in cellular genetic regulatory functions at the nanomolar scale. At present, no good theory exists for identifying all possible mechanis...
Bor-Sen Chen, Yu-Chao Wang