Bilaketaren emaitzak - machine learning (algorithm OR algorithms)

Sensors in Agriculture nork Moshou, Dimitrios

Gaiak: “...machine learning...”
Testu osoa

Sensors in Agriculture nork Moshou, Dimitrios

Gaiak: “...machine learning...”
Testu osoa

Side Channel Attacks nork Hong, Seokhie

Gaiak: “...machine-learning classification...”
Testu osoa

Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation nork Puls, Stephan

“...In the proposed system the environment of an industrial robot is captured through algorithms of machine learning. Thus, objects and human actions are determined. ...”
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Smart Energy Management for Smart Grids nork Longe, Omowunmi Mary, Ouahada, Khmaies

Gaiak: “...machine learning...”
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Special Protein Molecules Computational Identification nork Quan Zou (Ed.)

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Symmetry in Engineering Sciences nork Montoya, Francisco G., Baños Navarro, Raúl

Gaiak: “...A* algorithm...”
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Systems Analytics and Integration of Big Omics Data nork Hardiman, Gary

Gaiak: “...machine learning...”
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Tools and Algorithms for the Construction and Analysis of Systems: 24th International Conference, TACAS 2018, Held as Part of the European Joint Conferences on Theory and Practice... nork Dirk Beyer, Marieke Huisman

“...The papers are organized in topical sections as follows: Part I: theorem proving; SAT and SMT I; deductive verification; software verification and optimization; model checking; and machine learning. Part II: concurrent and distributed systems; SAT and SMT II; security and reactive systems; static and dynamic program analysis; hybrid and stochastic systems; temporal logic and mu-calculus; 7th Competition on Software Verification – SV-COMP....”
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Understanding Social Signals: How Do We Recognize the Intentions of Others? nork Sebastian Loth, Jan P. De Ruiter

“...However, the updated policies are strongly biased by the initial design of the robot and might not reflect natural, spontaneous user behaviour. In the machine learning approach, learning algorithms are used for finding a mapping between the sensor data space and a hypothesised or estimated set of intentions. ...”
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Pattern Recognition

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Theory and Novel Applications of Machine Learning

“...Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ...”
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New Achievements in Evolutionary Computation

“...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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New Advances in Machine Learning

“...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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Robot Learning

“...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

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New Fundamental Technologies in Data Mining

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Knowledge-Oriented Applications in Data Mining

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Theory and New Applications of Swarm Intelligence

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Human-Centric Machine Vision

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