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» Learning Dynamic Bayesian Networks
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HCI
2009
15 years 1 days ago
Modeling the Cognitive Task Load and Performance of Naval Operators
Abstract. Operators on naval ships have to act in dynamic, critical and highdemand task environments. For these environments, a cognitive task load (CTL) model has been proposed as...
Mark A. Neerincx, Stefan Kennedie, Marc Grootjen, ...
103
Voted
ICANN
2001
Springer
15 years 6 months ago
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
114
Voted
ESANN
2003
15 years 3 months ago
On the weight dynamics of recurrent learning
We derive continuous-time batch and online versions of the recently introduced efficient O(N2 ) training algorithm of Atiya and Parlos [2000] for fully recurrent networks. A mathem...
Ulf D. Schiller, Jochen J. Steil
CIKM
2010
Springer
15 years 26 days ago
Discriminative factored prior models for personalized content-based recommendation
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
Lanbo Zhang, Yi Zhang 0001
143
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SAC
2006
ACM
15 years 8 months ago
STRUDEL: supporting trust in the dynamic establishment of peering coalitions
The Coalition Peering Domain (CPD) is a recent innovation within the field of mesh networking. It facilitates the management of community-area networks in a distributed and scala...
Daniele Quercia, Manish Lad, Stephen Hailes, Licia...