Deep Learning For Robot Perception And Cognition

Machine Learning: A Probabilistic Perspective (Adaptive Computation And Machine Learning Series)

Robotics: Perception & Planning

The Probabilistic Revolution, Volume 2: Ideas In The Sciences (Bradford Books)

Handbook Of Probabilistic Models

Probabilistic Machine Learning For Civil Engineers (Mit Press)

Dynamic Probabilistic Systems, Volume I: Markov Models (Volume 1) (Dover Books On Mathematics)

Intelligent Robotic Visual Perception With Deep Learning

The Probabilistic Method (Wiley Series In Discrete Mathematics And Optimization)

Probabilistic Methods Of Signal And System Analysis (The Aoxford Series In Electrical And Computer Engineering)

Probabilistic Graphical Models: Principles And Applications (Advances In Computer Vision And Pattern Recognition)

Random Graphs And Complex Networks (Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 43)

Probabilistic Knowledge

Probability And Computing: Randomization And Probabilistic Techniques In Algorithms And Data Analysis

Statistical Models (Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 11)

Statistical Models (Cambridge Series In Statistical And Probabilistic Mathematics, Series Number 11)

Complex Visual Motion Analysis Via Probabilistic Variational Methods: A Distributed And Collaborative Approach

Probabilistic Analysis Of Radix Algorithms On Markov Sources

Probabilistic Reasoning In Intelligent Systems: Networks Of Plausible Inference (Morgan Kaufmann Series In Representation And Reasoning)

High-Dimensional Probability: An Introduction With Applications In Data Science (Cambridge Series In Statistical And Probabilistic Mathematics)

Probabilistic And Statistical Aspects Of Quantum Theory (Publications Of The Scuola Normale Superiore, 1)

The Probabilistic Foundations Of Rational Learning

Modern Discrete Probability: An Essential Toolkit (Cambridge Series In Statistical And Probabilistic Mathematics)