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136
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CORR
2010
Springer
255views Education» more  CORR 2010»
15 years 3 months ago
Scalable Tensor Factorizations for Incomplete Data
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Mo...
129
Voted
INFORMATICALT
1998
91views more  INFORMATICALT 1998»
15 years 3 months ago
Forecasting Automation: an Emerging Branch of Forecasting Engineering
Principles of the framework called time series forecasting automation are presented. It is required in processing massive temporal data sets and creating completely user-oriented f...
Andrey Kharchenko
131
Voted
MICCAI
2009
Springer
16 years 1 months ago
Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties
Abstract. It has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynami...
Sylvain Gouttard, Marcel Prastawa, Elizabeth Bulli...
CSE
2009
IEEE
15 years 10 months ago
Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery
—The hidden knowledge in social networks data can be regarded as an important resource for criminal investigations which can help finding the structure and organization of a crim...
Amin Milani Fard, Martin Ester
153
Voted
BMCBI
2007
161views more  BMCBI 2007»
15 years 3 months ago
Efficient classification of complete parameter regions based on semidefinite programming
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo