The Artificial PostAccount
Researchers

Daphne Koller

Probabilistic learning

Using probabilistic structure to learn from complex data.

Koller’s work uses probabilistic models to represent uncertainty and relationships in complex data. These papers cover structured learning, Bayesian networks, and inference, alongside applications to biological data and learning at scale.

Selected work

10 papers

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Selection & sources