bayesian models

AI-Powered Developments in Medical Robotics - (Medical Robotics and Computer Assisted Surgery: Ai-Enhanced, Data-Driven, and Evidence-Based Approac)

Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy Etc. Methods and Their Applications - (Paperback)

Coupling and Ergodic Theorems for Semi-Markov-Type Processes II - by Dmitrii Silvestrov (Hardcover)

Quantum Theory, Decision Making and Social Dynamics - (Uncertainty, Computational Techniques, and Decision Intelligence) (Paperback)

Random Toeplitz Functionals and Their Applications - (Frontiers in Probability and the Statistical Sciences) by Mamikon S Ginovyan (Hardcover)

Machine Learning in Drug Development: Part 2 - (Annual Reports in Medicinal Chemistry) by Katherine Seley-Radtke (Hardcover)

Machine Learning and Artificial Intelligence in Radiation Oncology - by Barry S Rosenstein & Tim Rattay & John Kang (Paperback)

Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems - by Jerome Morio & Mathieu Balesdent (Hardcover)

Probabilistic Machine Learning in Sustainable AI - by Richa Singh & Sayani Ghosal & Durgesh Srivastava & Pradeep Kundu (Hardcover)

Coupling and Ergodic Theorems for Semi-Markov-Type Processes I - by Dmitrii Silvestrov (Hardcover)

Data Analysis and Optimization - (Springer Optimization and Its Applications) by Boris Goldengorin & Sergei Kuznetsov (Hardcover)

Machine-Learning-Assisted Software Defect Prediction - by Zhou Xu (Hardcover)

Statistical Extremes and Applications - (NATO Science Series C:) by J Tiago de Oliveira (Hardcover)