Probabilistic Machine Learning
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This document discusses probabilistic machine learning research that develops new methods for probabilistic modeling, Bayesian inference, and machine learning, with a focus on learning from multiple data sources, Gaussian processes, data visualization, retrieval of relevant data, machine learning for user interaction, personalized medicine, and brain signal analysis and neuroinformatics. The research problems include modeling for personalized medicine.
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Probabilistic Machine Learning
- 1. Probabilistic Machine Learning We develop new methods for probabilistic modeling, Bayesian inference and machine learning. Keywords: • learning from multiple data sources • Gaussian processes • data visualization • retrieval of relevant data • machine learning for user interaction • personalized medicine • brain signal analysis and neuroinformatics Example of our research problems: Modelling for Contact: Samuel Kaski, Aki Vehtari personalized medicine