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» Multivariate Clustering by Dynamics
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ICML
2006
IEEE
14 years 11 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
ISBI
2006
IEEE
14 years 11 months ago
Linearly constrained MEG beamformers for MVAR modeling of cortical interactions
Among the many methods for modeling cortical interactions using EEG and MEG data, Multivariate Autoregressive(MVAR) functional connectivity measures have the advantage of providin...
Hua Brian Hui, Richard M. Leahy
CHI
1998
ACM
14 years 2 months ago
Exploring Browser Design Trade-Offs Using a Dynamical Model of Optimal Information Foraging
Designers and researchers of human-computer interaction need tools that permit the rapid exploration and management of hypotheses about complex interactions of designs, task condi...
Peter Pirolli
AUSAI
2006
Springer
14 years 2 months ago
DynamicWEB: Profile Correlation Using COBWEB
Establishing relationships within a dataset is one of the core objectives of data mining. In this paper a method of correlating behaviour profiles in a continuous dataset is presen...
Joel Scanlan, Jacky Hartnett, Raymond Williams
GECCO
2010
Springer
338views Optimization» more  GECCO 2010»
13 years 8 months ago
Multiobjective evolutionary community detection for dynamic networks
A multiobjective genetic algorithm for detecting communities in dynamic networks, i.e., networks that evolve over time, is proposed. The approach leverages on the concept of evolu...
Francesco Folino, Clara Pizzuti