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Open universes and nuclear weapons

Open universes and nuclear weapons

Open universes and nuclear weapons. Outline. Why we need expressive probabilistic languages BLOG combines probability and first-order logic Application to global seismic monitoring for the Comprehensive Nuclear-Test-Ban Treaty (CTBT). The world has things in it!!.

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1.04k views • 92 slides
Open universes and nuclear weapons

Open universes and nuclear weapons

Open universes and nuclear weapons. Outline. Why we need expressive probabilistic languages BLOG combines probability and first-order logic Application to global seismic monitoring for the Comprehensive Nuclear-Test-Ban Treaty (CTBT). The world has things in it!!.

★ ★ ★ ★ ★

929 views • 92 slides
Stuart Russell Computer Science Division UC Berkeley

Stuart Russell Computer Science Division UC Berkeley

Representational and inferential foundations for possible large-scale information extraction and question-answering from the web. Stuart Russell Computer Science Division UC Berkeley. Goal. A system that knows everything on the Web* Answer all questions Discover patterns Make predictions

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677 views • 59 slides
Stuart Russell Computer Science Division UC Berkeley

Stuart Russell Computer Science Division UC Berkeley

Representational and inferential foundations for possible large-scale information extraction and question-answering from the web. Stuart Russell Computer Science Division UC Berkeley. Goal. A system that knows everything on the Web* Answer all questions Discover patterns Make predictions

★ ★ ★ ★ ★

663 views • 56 slides
Stuart Russell Computer Science Division UC Berkeley

Stuart Russell Computer Science Division UC Berkeley

Representational and inferential foundations for possible large-scale information extraction and question-answering from the web. Stuart Russell Computer Science Division UC Berkeley. Goal. A system that knows everything on the Web* Answer all questions Discover patterns Make predictions

★ ★ ★ ★ ★

566 views • 56 slides
Machine learning, probabilistic modelling

Machine learning, probabilistic modelling

Machine learning, probabilistic modelling. Outline. Some basic aspects of machine learning Example: detecting artifacts in ICU data Example: probabilistic data association Multitarget tracking Freeway traffic CiteSeer Sibyl attacks on recommender systems. Machine learning: model-free.

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505 views • 31 slides

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