Scattered Data Approximation Professors in Global

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Rahim Rahmani
Stockholm University Sweden
distributed data processing
distributed intelligence
spatial computing
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Ivan Kryven
Utrecht University Netherlands
random approximation algorithms
randomized algorithms
stochastic analysis
random graph representation
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
computational modelling
data analysis
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Ralf Peeters
Maastricht University Netherlands
statistical parameter estimation
data mining
mathematical modelling
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Ralf Peeters
Maastricht University Netherlands
statistical parameter estimation
data mining
mathematical modelling
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Memta Jagtiani
University College London United Kingdom
statistical data analysis
data mining
statistical modeling
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
multidimensional data analysis
statistical modeling
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Alberto Apostolico
Georgia Institute of Technology United States of America
data mining
parallel distributed computation
combinatorial pattern matching
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Rahim Rahmani
Stockholm University Sweden
distributed data processing
spatial computing
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Monika Eisenmann
Lund University Sweden
numerical approximation
stochastic numerical analysis
randomized algorithms
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Phuong Nguyen
Eindhoven University of Technology Belgium
distributed state estimation
distributed computational intelligence
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Arpan Mukhopadhyay
University of Warwick United Kingdom
randomized algorithms
stochastic modeling
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Shwetadwip Chowdhury
University of Texas at Austin United States of America
optical scatter
large-scale data analysis
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Shwetadwip Chowdhury
University of Texas at Austin United States of America
optical scatter
large-scale data analysis
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Yuchen Wu
Cornell University Netherlands
sampling algorithms
machine-generated data
statistical machine learning
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Eliezer Upfal
Brown University United States of America
randomized algorithms
stochastic optimization
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Gordan Zitkovic
University of Texas at Austin United States of America
stochastic analysis
stochastic optimization
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Stijn De Vuyst
Ghent University Belgium
stochastic modeling
stochastic optimization
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Christian Onof
Imperial College London United Kingdom
stochastic modeling
statistical machine learning
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Yan Wang
University of California Los Angeles United States of America
sampling algorithms
statistical modeling
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Hao Yu
Western University Canada
approximation statistics
stochastic modeling
statistical computing
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