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UAI
1996
13 years 9 months ago
Efficient Approximations for the Marginal Likelihood of Incomplete Data Given a Bayesian Network
We discuss Bayesian methods for learning Bayesian networks when data sets are incomplete. In particular, we examine asymptotic approximations for the marginal likelihood of incomp...
David Maxwell Chickering, David Heckerman
MVA
1990
139views Computer Vision» more  MVA 1990»
13 years 9 months ago
Generation of 3-D Models Based on Image Fusion of Range Data
This paper presents a method for measuringthe entire three dimensional (3D) shape of object, which is applicable for 3D digitizing into a solid modeling CAD. The method measures t...
Yasuo Sakaguchi, Hirokazu Kato, Kosuke Sato, Seiji...
ADBIS
2010
Springer
333views Database» more  ADBIS 2010»
13 years 9 months ago
Horizontal Partitioning by Predicate Abstraction and Its Application to Data Warehouse Design
al Partitioning by Predicate Abstraction and its Application to Data Warehouse Design Aleksandar Dimovski1 , Goran Velinov2 , and Dragan Sahpaski2 1 Faculty of Information-Communic...
Aleksandar Dimovski, Goran Velinov, Dragan Sahpask...
CCGRID
2010
IEEE
13 years 9 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
CANDC
2006
ACM
13 years 8 months ago
Detecting and aligning peaks in mass spectrometry data with applications to MALDI
In this paper, we address the peak detection and alignment problem in the analysis of mass spectrometry data. To deal with the peak redundancy problem existing in the MALDI data a...
Weichuan Yu, Baolin Wu, Ning Lin, Kathy Stone, Ken...