Resultados de procura - learning (algorithm OR algorithms)
Suggested Topics within your search.
Suggested Topics within your search.
- machine learning 350
- n/a 284
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- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 196
- thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues 176
- artificial intelligence 144
- thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general 118
- convolutional neural network 96
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- thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries 75
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- thema EDItEUR::U Computing and Information Technology::UY Computer science 66
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence 63
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The Data Journalism Handbook
Publicado 2021“...The book includes sections on “doing issues with data,” “assembling data,” “working with data,” “experiencing data,” “investigating data, platforms and algorithms,” “organizing data journalism,” “learning data journalism together” and “situating data journalism.”...”
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Frontiers in Evolutionary Robotics
Publicado 2021“...Many researchers have been studying the techniques for evolutionary robotics by using Evolutionary Computation (EC), such as Genetic Algorithms (GA) or Genetic Programming (GP). Their goal is to clarify the applicability of the evolutionary approach to the real-robot learning, especially, in view of the adaptive robot behavior as well as the robustness to noisy and dynamic environments. ...”
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Theory and Novel Applications of Machine Learning
Publicado 2021“...Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. ...”
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Evolutionary Computation
Publicado 2021“...This book presents several recent advances on Evolutionary Computation, specially evolution-based optimization methods and hybrid algorithms for several applications, from optimization and learning to pattern recognition and bioinformatics. ...”
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New Achievements in Evolutionary Computation
Publicado 2021“...During this time, new metaheuristic optimization approaches, like evolutionary algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new fields of usage in artificial intelligence, machine learning, combinatorial and numerical optimization, etc., were being explored. ...”
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Self-Organizing Maps
Publicado 2021“...The Self-Organizing Map (SOM) is a neural network algorithm, which uses a competitive learning technique to train itself in an unsupervised manner. ...”
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New Advances in Machine Learning
Publicado 2021“...The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. ...”
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Bayesian Network
Publicado 2021“...Bayesian networks are a very general and powerful tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. They provide a language that supports efficient algorithms for the automatic construction of expert systems in several different contexts. ...”
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Robot Learning
Publicado 2021“...It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real-world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields. ...”
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Advances in Reinforcement Learning
Publicado 2021“...This book brings together many different aspects of the current research on several fields associated to RL which has been growing rapidly, producing a wide variety of learning algorithms for different applications. Based on 24 Chapters, it covers a very broad variety of topics in RL and their application in autonomous systems. ...”
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Haptics Rendering and Applications
Publicado 2021“...Due to constant improvement in haptics technology and increasing levels of research into and development of haptics-related algorithms, protocols and devices, there is a belief that haptics technology has a promising future....”
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Robotic Systems
Publicado 2021“...This book brings together some of the latest research in robot applications, control, modeling, sensors and algorithms. Consisting of three main sections, the first section of the book has a focus on robotic surgery, rehabilitation, self-assembly, while the second section offers an insight into the area of control with discussions on exoskeleton control and robot learning among others. ...”
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Theory and New Applications of Swarm Intelligence
Publicado 2021“...Hence, this book presents some recent advances on Swarm Intelligence, specially on new swarm-based optimization methods and hybrid algorithms for several applications. The content of this book allows the reader to know more both theoretical and technical aspects and applications of Swarm Intelligence....”
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Visual Object Tracking with Deep Neural Networks
Publicado 2021“...This book presents the state-of-the-art and new algorithms, methods, and systems of these research fields by using deep learning. ...”
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Smart Healthcare
Publicado 2021“...Smart medicine is the use of algorithms and automated technology in health care, and it is anticipated that advances in this area of artificial intelligence will help lead to even further gains in health and longevity. ...”
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