813 search results - page 12 / 163 » Learning semantic models from event logs |
136
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ESOP
2011
Springer
14 years 4 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
110
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APN
2004
Springer
15 years 6 months ago
2004
Springer
Process mining offers a way to distill process models from event logs originating from transactional systems in logistics, banking, e-business, health-care, etc. The algorithms us...
170
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IS
2011
14 years 7 months ago
2011
Abstract. Process mining allows for the automated discovery of process models from event logs. These models provide insights and enable various types of model-based analysis. This ...
113
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ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
95
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CONCURRENCY
2010
15 years 22 days ago
2010
Over the past decade the number of processors in the high performance facilities went up to hundreds of thousands. As a direct consequence, while the computational power follow th...