Søgeresultater - bayesian reference _. machine learning

Monitoring Forest Carbon Sequestration with Remote Sensing

Fag: “...machine learning algorithm...”
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Advances in Artificial Intelligence and Statistical Techniques with Applications to Health and Education

Fag: “...machine learning...”
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Talent Identification and Development in Youth Sports

Fag: “...Bayesian machine learning...”
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Air Quality Characterisation and Modelling

Fag: “...machine learning...”
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Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety

Fag: “...machine learning...”
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Optimal Water Management and Sustainability in Irrigated Agriculture

Fag: “...machine learning...”
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Universe

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Advances in Artificial Intelligence

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Hybrid Data Processing by Combining Machine Learning, Expert, Safety and Security

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Innovative Design and Application of Modern Agricultural Machinery Systems in Cropping Systems

Fag: “...Deep learning...”
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Big Data Mining and Analytics with Applications

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Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection af Zhou, Xuefeng, Wu, Hongmin, Rojas, Juan, Xu, Zhihao, Li, Shuai

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Information Geometry af Verdoolaege, Geert

“...Presenting original research, yet written in an accessible, tutorial style, this collection of papers will be useful for scientists who are new to the field, while providing an excellent reference for the more experienced researcher. Several papers are written by authorities in the field, and topics cover the foundations of information geometry, as well as applications to statistics, Bayesian inference, machine learning, complex systems, physics, and neuroscience....”
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Massive MIMO Systems

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Statistical Methods for the Analysis of Genomic Data

Fag: “...machine learning...”
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Data Science: Measuring Uncertainties

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Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management

Fag: “...machine learning...”
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Multispectral and Hyperspectral Remote Sensing Data for Mineral Exploration and Environmental Monitoring of Mined Areas

Fag: “...machine learning...”
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Ancient and Archaic Genomes

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Advances in Cereal Crops Breeding

Fag: “...machine learning algorithms...”
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