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