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ISMDA
2001
Springer
15 years 9 months ago
Learning Bayesian-Network Topologies in Realistic Medical Domains
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
CSEE
2004
Springer
15 years 10 months ago
Software Engineers and HCI Practitioners Learning to Work Together: A Preliminary Look at Expectations
This survey studied the expectations of Software Engineering graduate students who took an HCI course, regarding the interaction of engineers and HCI practitioners in their future...
Allen E. Milewski
158
Voted
ISM
2008
IEEE
159views Multimedia» more  ISM 2008»
15 years 4 months ago
Adaptive Modeling of a User's Daily Life with a Wearable Sensor Network
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...
TIT
2008
106views more  TIT 2008»
15 years 4 months ago
Byzantine Modification Detection in Multicast Networks With Random Network Coding
This paper gives an information theoretic approach for detecting Byzantine modifications in networks employing random linear network coding. Each exogenous source packet is augmen...
Tracey Ho, Ben Leong, Ralf Koetter, Muriel M&eacut...
ECCB
2003
IEEE
15 years 10 months ago
Gene networks inference using dynamic Bayesian networks
This article deals with the identification of gene regulatory networks from experimental data using a statistical machine learning approach. A stochastic model of gene interactio...
Bruno-Edouard Perrin, Liva Ralaivola, Aurél...