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IJCAI
2001
15 years 4 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
IDEAL
2009
Springer
15 years 19 days ago
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data
In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of ...
Iñigo Barandiarán, Iván Mac&i...
CORR
2010
Springer
162views Education» more  CORR 2010»
15 years 1 months ago
Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
Apoorva Jindal, Mingyan Liu
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ISMDA
2001
Springer
15 years 7 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 ...
ADC
2005
Springer
97views Database» more  ADC 2005»
15 years 8 months ago
Querying and Maintaining Ordered XML Data using Relational Databases
Although data stored in XML is of increasing importance, most existing data repositories are still managed by relational database systems. In light of this, recent XML database re...
William M. Shui, Franky Lam, Damien K. Fisher, Ray...