Adaptive Learning of Polynomial Networks
This book provides theoretical and practical knowledge for develop ment of algorithms that infer linear and nonlinear models. ...
Weiterlesen
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 ...
Weiterlesen
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 ...
Weiterlesen
Computer Vision -- ECCV 2006 (vol. # 3951)
The papers are organized in topical sections on recognition, statistical models and visual learning, 3D reconstruction and ...
WeiterlesenData 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 ...
Weiterlesen
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 ...
Weiterlesen
Machine Learning Challenges
This book constitutes the refereed post-proceedings of the First PASCAL Machine Learning Challenges Workshop, MLCW 2005. ...
WeiterlesenModel-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 ...
WeiterlesenMulti-Sensor Data Fusion
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed ...
Weiterlesen
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 ...
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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 ...
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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 ...
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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 ...
Weiterlesen
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 ...
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