Adaptive Learning of Polynomial Networks
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. ...
Lire la suite
Bayesian Computation with R : Introduces Bayesian modeling by use of computation using the R language
R's open source nature, free availability, and large number of contributor packages have made R the software of choice for ...
Lire la suite
Classic Works on the Dempster-Shafer Theory of Belief Functions
This book brings together a collection of classic research papers on the Dempster-Shafer theory of belief functions. By bridging ...
Lire la suite
Computer Vision -- ECCV 2006 (vol. # 3951)
The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and ...
Lire la suiteData Assimilation Fundamentals : A Unified Formulation of the State and Parameter Estimation Problem
This textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental ...
Lire la suite
Le raisonnement bayésien : Modélisation et inférence = Bayesian reasoning: Modeling and inference
This book describes in detail the practice of the Bayesian statistical approach using many examples chosen for their educational ...
Lire la suite
Machine Learning Challenges
This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
Lire la suiteModel-Based Reasoning in Science, Technology, and Medicine
The volume is based on the papers that were presented at the international conference Model-Based Reasoning in Science and ...
Lire la suiteMulti-Sensor Data Fusion
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed ...
Lire la suite
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection
This book focuses on robot introspection, which has a direct impact on physical human–robot interaction and long-term ...
Lire la suite
Reminiscences of a Statistician : The Company I Kept
This relatively nontechnical book is the first account of the history of statistics from the Fisher revolution to the computer ...
Lire la suite
Soft Methods for Handling Variability and Imprecision
This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim ...
Lire la suite
Subspace, Latent Structure and Feature Selection
The inspiration for this volume was a workshop held under the auspices of thePASCAL Network of Excellence. The aimof this ...
Lire la suite
The Bayesian Choice : From Decision-Theoretic Foundations to Computational Implementation
This book covers both the basic ideas of statistical theory, and also some of the more modern and advanced topics of Bayesian ...
Lire la suite
