421 search results - page 40 / 85 » A probabilistic framework for relational clustering |
127
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ECML
2006
Springer
15 years 5 months ago
2006
Springer
Multiple-instance learning (MIL) is a popular concept among the AI community to support supervised learning applications in situations where only incomplete knowledge is available....
106
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ILP
2000
Springer
15 years 5 months ago
2000
Springer
First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
158
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UAI
1997
15 years 3 months ago
1997
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
153
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CN
2006
15 years 2 months ago
2006
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
173
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EDBT
2011
ACM
14 years 5 months ago
2011
ACM
The popularity of batch-oriented cluster architectures like Hadoop is on the rise. These batch-based systems successfully achieve high degrees of scalability by carefully allocati...