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NIPS
2003
15 years 5 months ago
Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
We consider the question of predicting nonlinear time series. Kernel Dynamical Modeling (KDM), a new method based on kernels, is proposed as an extension to linear dynamical model...
Liva Ralaivola, Florence d'Alché-Buc
ICANN
2001
Springer
15 years 8 months ago
Generalized Relevance LVQ for Time Series
Abstract. An application of the recently proposed generalized relevance learning vector quantization (GRLVQ) to the analysis and modeling of time series data is presented. We use G...
Marc Strickert, Thorsten Bojer, Barbara Hammer
HICSS
2000
IEEE
104views Biometrics» more  HICSS 2000»
15 years 8 months ago
Fragmentation of Working Time and SMARTER IS-Solutions
It has been commonly stated how complex it is to measure the impact of Information Technology on managers' productivity. We propose to go beyond the concept of productivity i...
Franck Tétard
ACSE
2000
ACM
15 years 8 months ago
Time studies as a tool for (computer science) education research
Computer Science Education Research is often done in a very local setting and findings are difficult to transfer to other institutions. There are however several factors that spea...
Anna Sandström, Mats Daniels
CIKM
2006
Springer
15 years 7 months ago
Measuring the meaning in time series clustering of text search queries
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner