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» Long-term Planning by Short-term Prediction
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HCI
2009
13 years 2 months ago
Long Term Repair of Learning Disability through Short-Term Reduction of CNS Inhibition
Learning disabilities are serious societal problems contributing to a loss of quality of life for affected individuals and their families. We hypothesized that the learning disabil...
H. Craig Heller, Damien Colas, Norman F. Ruby, Fab...
ICANN
2001
Springer
13 years 9 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
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
14 years 5 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
DCC
2003
IEEE
14 years 4 months ago
Video Compression with Intra/Inter Mode Switching and a Dual Frame Buffer
Video codecs that use motion compensation have recently achieved performance improvements from the use of intra/inter mode switching decisions within a ratedistortion framework. A...
Athanasios Leontaris, Pamela C. Cosman
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 5 months ago
Oil Price Trackers Inspired by Immune Memory
We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynami...
William O. Wilson, Phil Birkin, Uwe Aickelin