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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
14 years 1 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
DATAMINE
2006
130views more  DATAMINE 2006»
13 years 9 months ago
Mining Adaptive Ratio Rules from Distributed Data Sources
Different from traditional association-rule mining, a new paradigm called Ratio Rule (RR) was proposed recently. Ratio rules are aimed at capturing the quantitative association kno...
Jun Yan, Ning Liu, Qiang Yang, Benyu Zhang, QianSh...
BC
2004
94views more  BC 2004»
13 years 8 months ago
An adaptive neuro-fuzzy method ( ANFIS) for estimating single-trial movement-related potentials
Abstract. This study aims to recover transient, trialvarying evoked potentials (EPs), in particular the movement-related potentials (MRPs), embedded within the background cerebral ...
D. D. Ben Dayan Rubin, G. Baselli, Gideon F. Inbar...
DSP
2006
13 years 9 months ago
Blind image deconvolution via dispersion minimization
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
C. Vural, William A. Sethares
HPCA
2009
IEEE
14 years 3 months ago
MRR: Enabling fully adaptive multicast routing for CMP interconnection networks
On-network hardware support for multi-destination traffic is a desirable feature in most multiprocessor machines. Multicast hardware capabilities enable much more effective bandwi...
Pablo Abad Fidalgo, Valentin Puente, José-&...