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MMAS
2011
Springer
14 years 11 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
150
Voted
ICMI
2007
Springer
199views Biometrics» more  ICMI 2007»
15 years 11 months ago
Interest estimation based on dynamic bayesian networks for visual attentive presentation agents
In this paper, we describe an interface consisting of a virtual showroom where a team of two highly realistic 3D agents presents product items in an entertaining and attractive wa...
Boris Brandherm, Helmut Prendinger, Mitsuru Ishizu...
GROUP
2007
ACM
15 years 8 months ago
Suitable notification intensity: the dynamic awareness system
Being aware of others' activities has played a vital role in the success of online collaboration. This resulted in the emergence of many groupware systems that provide users ...
Yao Wang, Wolfgang Gräther, Wolfgang Prinz
ATAL
2008
Springer
15 years 6 months ago
Dynamic Bayesian network based interest estimation for visual attentive presentation agents
In this paper, we report on an interactive system and the results ofa formal user study that was carried out with the aim of comparing two approaches to estimating users' int...
Boris Brandherm, Helmut Prendinger, Mitsuru Ishizu...
148
Voted
NIPS
1998
15 years 6 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis