Machine Learning for Multimodal Interaction : 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings
The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements ...
Lee mas
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. ...
Lee mas
Machine Learning: ECML 2005
The European Conference on Machine Learning (ECML) and the European Conference on Principles and Practice of Knowledge Discovery ...
Lee masModel-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 ...
Lee mas
Modeling Biological Systems:
This extensively revised second edition of Modeling Biological Systems: Principles and Applications describes the essentials ...
Lee mas
Modeling Decisions for Artificial Intelligence (vol. # 3885)
This book constitutes the refereed proceedings of the Third International Conference on Modeling Decisions for Artificial ...
Lee masModeling, Estimation and Control
Coefficients of Variations in Analysis of Macro-Policy Effects: An example of two-parameter Poisson-Dirichlet distributions.- ...
Lee mas
Modern Portfolio Optimization with NuOPT™, S-PLUS®, and S+Bayes™
This book fills the gap between current university instruction and current industry practice by providing a comprehensive ...
Lee masMulti-Sensor Data Fusion
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed ...
Lee mas
Multiple Classifier Systems
These proceedings are a record of the Multiple Classifier Systems Workshop, MCS 2007, held at the Institute of Information ...
Lee mas
Multiscale Modeling
The book is aimed at statisticians, applied mathematicians, and engineers working on problems dealing with multiscale processes ...
Lee masMultivariate Statistical Machine Learning Methods for Genomic Prediction
This book brings together the latest genome base prediction models currently being used by statisticians, breeders and data ...
Lee mas
New Introduction to Multiple Time Series Analysis
This reference work and graduate level textbook considers a wide range of models and methods for analyzing and forecasting ...
Lee mas
Nonbayesian Decision Theory : Beliefs and Desires as Reasons for Action
This book aims to present an account of rational choice from a non-Bayesian point of view. Rational agents maximize subjective ...
Lee mas
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 ...
Lee mas
Optimized Bayesian Dynamic Advising
Written by one of the world’s leading groups in the area of Bayesian identification, control and decision making, this ...
Lee mas
Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I
This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on ...
Lee mas
Parallel Problem Solving from Nature – PPSN XVI : 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II
This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on ...
Lee mas
Parameter Estimation in Stochastic Differential Equations
Parameter estimation in stochastic differential equations and stochastic partial differential equations is the science, art ...
Lee mas
Philosophical Lectures on Probability
Philosophical Lectures on Probability contains the transcription of a series of lectures held by Bruno de Finetti (one of ...
Lee mas
