Probabilistic data networks represent sets of uncertain data whose behaviour cannot exactly be predicted. The likeliness of any version of the network being true is associated with a probability.

Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how ...

Monmouth County's top judge rejected Paul Caneiro's motion to exclude DNA evidence analyzed with cutting-edge technology.

The Helsinki Probabilistic Machine Learning Lab encompasses seven research groups at the Department of Computer Science of the University of Helsinki, all specializing in probabilistic machine ...

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The Multi-source Probabilistic Inference (MUPI) research group studies statistical machine learning and artificial intelligence. We develop new methods and algorithms for coping with uncertainty in ...

This publication captures the current state of knowledge and practices within Member States concerning the development and use of Level 2 Probabilistic Safety Assessments (PSA). It summarizes the key ...