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Probabilistic Robotics
An introduction to the techniques and algorithms of the newest field in robotics. Probabilistic robotics is a new and growing area;
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Inductive Logic Programming
. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics;
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Algorithmic Foundations of Robotics XIV
uncertainty, probabilistic algorithms, game theory, and theoretical computer science. Intelligent robots and autonomous systems depend on algorithms;
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Inductive Logic Programming
; logical foundations; statistical relational learning; probabilistic ILP; implementation and scalability; applications in robotics, cyber security;
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Artificial Intelligence
coverage of machine learning, deep learning, transfer learning, multiagent systems, robotics, natural language processing, causality, probabilistic;
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Artificial Intelligence
. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;
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Advances in Machine Learning and Computational Intelligence
; fuzzy, stochastic and probabilistic computing; neural computing; big data; social networks and applications of soft computing in various areas.;
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Artificial Intelligence
. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;
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Artificial Intelligence
. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;
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Artificial Intelligence
. Uncertainty. Probabilistic Reasoning Systems. Making Simple Decisions. Making Complex Decisions. Learning from Observations. Learning with Neural;
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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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Advances in Artificial Intelligence -- IBERAMIA 2014
organized in the following topical sections: knowledge engineering, knowledge representation and probabilistic reasoning; planning and scheduling;
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Grand Timely Topics in Software Engineering
of software analysis, empirical research, modularity, and product lines. The tutorials/briefings cover probabilistic program analysis, ontologies;
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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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Knowledge in Action
, concurrency, exogenous events, reactivity, sensing and knowledge, probabilistic uncertainty, and decision theory. It also describes and implements a;
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Machine Learning
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach. Today's Web-enabled;
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Advancements in Mechatronics and Intelligent Robotics
This book gathers selected papers presented at the Fourth International Conference on Mechatronics a;...
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Recent Developments in Mechatronics and Intelligent Robotics
This book gathers selected papers presented at the Third International Conference on Mechatronics an;...
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Probabilistic Databases
Probabilistic databases are databases where the value of some attributes or the presence of some records are uncertain and known only with;
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AI and IoT-Based Intelligent Automation in Robotics
The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT ;...
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Multiscale and probabilistic modelling of micro electromechanical systems
Multiscale and probabilistic modelling of micro electromechanical systems;
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Introduction to Robotics
This books serves as an introduction to robotics analysis, the systems and sub-systems t;...
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The Robotics Primer
The Robotics Primer offers a broadly accessible introduction to robotics for students at pre-univers;...
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