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JTAER
2007
90views more  JTAER 2007»
13 years 9 months ago
One-size e-business adoption model does not fit all
This empirical study of organisational e-business adoption, utilising both qualitative and quantitative data collection methods, examines four major factors influencing adoption i...
Barbara Roberts, Mark Toleman
ICDM
2010
IEEE
273views Data Mining» more  ICDM 2010»
13 years 7 months ago
Learning Maximum Lag for Grouped Graphical Granger Models
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
Amit Dhurandhar
NIPS
2001
13 years 11 months ago
Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
Reaching movements require the brain to generate motor commands that rely on an internal model of the task's dynamics. Here we consider the errors that subjects make early in...
O. Donchin, Reza Shadmehr
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 9 months ago
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning
We propose a direct reconstruction algorithm for Computed Tomography, based on a local fusion of a few preliminary image estimates by means of a non-linear fusion rule. One such ru...
Joseph Shtok, Michael Zibulevsky, Michael Elad
BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
An analytic and systematic framework for estimating metabolic flux ratios from 13C tracer experiments
Background: Metabolic fluxes provide invaluable insight on the integrated response of a cell to environmental stimuli or genetic modifications. Current computational methods for e...
Ari Rantanen, Juho Rousu, Paula Jouhten, Nicola Za...