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» Multidimensional Data Modeling for Business Process Analysis
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134
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COLT
2010
Springer
15 years 1 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
363
Voted

Publication
1851views
17 years 4 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
131
Voted
ML
2008
ACM
15 years 3 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
151
Voted
IPAW
2010
15 years 27 days ago
Towards a Threat Model for Provenance in e-Science
Abstract. Scientists increasingly rely on workflow management systems to perform large-scale computational scientific experiments. These systems often collect provenance informatio...
Luiz M. R. Gadelha Jr., Marta Mattoso, Michael Wil...
137
Voted
JSW
2007
156views more  JSW 2007»
15 years 3 months ago
An Automatic Test Case Generation Framework for Web Services
— BPEL (Business Process Execution Language) as a de-facto standard for web service orchestration has drawn particularly attention from researchers and industries. BPEL is a semi...
Yongyan Zheng, Jiong Zhou, Paul Krause