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NPL
2011
14 years 9 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
MOBIHOC
2006
ACM
16 years 6 months ago
Modeling steady-state and transient behaviors of user mobility: : formulation, analysis, and application
Recent studies on mobility modeling have focused on characterizing user mobility from real traces of wireless LANs (WLANs) and creating mobility models based on such characterizat...
Jong-Kwon Lee, Jennifer C. Hou
166
Voted
SC
2009
ACM
15 years 11 months ago
A framework for core-level modeling and design of reconfigurable computing algorithms
Reconfigurable computing (RC) is rapidly becoming a vital technology for many applications, from high-performance computing to embedded systems. The inherent advantages of custom-...
Gongyu Wang, Greg Stitt, Herman Lam, Alan D. Georg...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 7 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
ISMB
1996
15 years 7 months ago
Gene Recognition in Cyanobacterium Genomic Sequence Data Using the Hidden Markov Model
We have developed a hidden Markov model (HMM)to detect the protein coding regions within one megabase contiguous sequence data, registered in a database called GenBankin eight ent...
Tetsushi Yada, Makoto Hirosawa