Knowledge Science, Engineering and Management
This book constitutes the refereed proceedings of the Second International Conference on Knowledge Science, Engineering and ...
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Le choix bayésien
Covers the so-called Bayesian approach to statistical inference and in particular its decision-making aspects. The bases ...
Lee mas
Le choix bayésien
Covers the so-called Bayesian approach to statistical inference and in particular its decision-making aspects. The bases ...
Lee mas
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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Lectures on Probability Theory and Statistics
This volume contains two of the three lectures that were given at the 33rd Probability Summer School in Saint-Flour (July ...
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Machine Learning for Audio, Image and Video Analysis : Theory and Applications
The book is organized in four parts: The first focuses on technical aspects, basic mathematical notions and elementary machine ...
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Machine Learning for Multimedia Content Analysis
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia ...
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Machine Learning in Computer Vision
The goal of this book is to address the use of several important machine learning techniques into computer vision applications. ...
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Machine Learning: ECML 2005
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Markov Chains: Models, Algorithms and Applications
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
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Markov Decision Processes with Their Applications
Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be ...
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Markov Models for Pattern Recognition : From Theory to Applications
This comprehensive introduction to the Markov modeling framework describes the underlying theoretical concepts - covering ...
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Markov Processes, Brownian Motion, and Time Symmetry
The book consists of two parts. Part I,This part introduces strong Markov processes and their potential theory. In particular,it ...
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Mathematical Linguistics
Mathematical Linguistics introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians ...
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Mathematics and Technology
Mathematics and Technology presents technological applications of mathematics making use of elegant mathematical concepts. ...
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Mathematics of Financial Markets
This book presents the mathematics that underpins pricing models for derivative securities, such as options, futures and ...
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Measure Theory and Probability Theory
The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option ...
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Measure Theory and Probability Theory
The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option ...
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Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 : 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II
The program committee carefully selected 258 revised papers from numerous submissions for presentation in two volumes, based ...
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