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Probabilistic Models in Building Automation

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Probabilistic Reasoning in Multiagent Systems

This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed;

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Probabilistic Reasoning in Multiagent Systems

This 2002 book investigates the opportunities in building intelligent decision support systems offered by multi-agent distributed;

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Handbook of Probabilistic Models

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields;

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Probabilistic Reliability Models

Practical Approaches to Reliability Theory in Cutting-Edge Applications Probabilistic Reliability Models helps readers understand and;

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Nonlinear Models For Economic Decision Processes

, nonlinear dynamics and econometrics, physics of risk, statistical and probabilistic methods in economics and finance.This publication concentrates;

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Practical Probabilistic Programming

the future! Probabilistic programming is a programming paradigm in which code models are used to draw probabilistic inferences from data. By;

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Biological Sequence Analysis

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing;

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Introduction to Industrial Automation

This book provides an extended overview and fundamental knowledge in industrial automation, while building the necessary knowledge level;

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Probabilistic conjunctive models

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Non-Gaussian Autoregressive-Type Time Series

most of the available models in the field and provide their probabilistic and inferential properties. This book classifies the stationary time;

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Probabilistic Graphical Models

A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available;

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Stochastic Models of Uncertainties in Computational Mechanics

support robust optimization, design, and updating. A probabilistic approach to uncertainties is the most powerful, efficient, and effective;

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Probabilistic Models of the Brain - Perception and Neural Function

A survey of probabilistic approaches to modeling and understanding brain function. Neurophysiological, neuroanatomical, and brain;

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Building Automation and Digital Technologies

Building automation systems and digital technologies are highly relevant for the environmental and energy performance of buildings;

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Green Building Management and Smart Automation

automation techniques, this demand for energy resources can be lowered. Green Building Management and Smart Automation is an essential scholarly;

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Test Automation

in-depth for medium- to large-scale implementations, from the benefits of test automation to defining, building and implementing a test automation;

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Mastering Probabilistic Graphical Models Using Python

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Query Processing on Probabilistic Data

Probabilistic data is motivated by the need to model uncertainty in large databases. Over the last twenty years or so, both the Database;

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Bayesian Analysis with Python

-of-the-art probabilistic programming library, and ArviZ, a new library for exploratory analysis of Bayesian models. The main concepts of Bayesian;

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Random Signals

covers three important areas: fundamentals and examples of random process models; application of probabilistic models - signal detection and;

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Robotic Process Automation Projects

Learn RPA by building business solutions such as ERP and CRM automation, software robots, and intelligent process automation from scratch;

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Intelligent Buildings and Building Automation

interfacing of building automation subsystems and multiple building systems. Local and supervisory control strategies for typical building;

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Intelligent Buildings and Building Automation

interfacing of building automation subsystems and multiple building systems. Local and supervisory control strategies for typical building;

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Probabilistic Models of the Brain

address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and;

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Probabilistic Transmission System Planning

, which discuss the concepts, models, methods and data in probabilistic transmission planning. The second part, Chapters 8 to 11, addresses four;

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Probabilistic Graphical Models

This fully updated new edition of a uniquely accessible textbook/reference provides a general introduction to probabilistic graphical;

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