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Machine Learning under Resource Constraints. Applications /

Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data a...

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Detalles Bibliográficos
Otros Autores: Arendt, Christian (Contribuidor), Awasthi, Shrutarv (Contribuidor), Bektas, Caner (Contribuidor), Biskup, Joachim (Contribuidor), Borgwardt, Karsten (Contribuidor), Böcker, Stefan (Contribuidor), Büscher, Jan (Contribuidor), Cheng, Liang (Contribuidor), Deuse, Jochen (Contribuidor), Ding, Zeyu (Contribuidor), Falkenberg, Robert (Contribuidor), Finkeldey, Felix (Contribuidor), Gramse, Nils (Contribuidor), Haferkamp, Marcus (Contribuidor), Heimann, Karsten (Contribuidor), Hergenröder, Roland (Contribuidor), Hompel, Michael ten (Contribuidor), Häger, Simon (Contribuidor), Ickstadt, Katja (Contribuidor), Jutzeler, Catherine (Contribuidor), Jörke, Pascal (Contribuidor), Kriege, Nils (Contribuidor), Krieger, Cedrik (Contribuidor), Kurtz, Fabian (Contribuidor), Köster, Johannes (Contribuidor), Lang, Michel (Contribuidor), Liebig, Thomas (Contribuidor), Machado, Maximillian (Contribuidor), Masoudinejad, Mojtaba (Contribuidor), Morik, Katharina (Contribuidor, Editor ), Munteanu, Alexander (Contribuidor), Mutzel, Petra (Contribuidor), Overbeck, Dennis (Contribuidor), Panusch, Thorben (Contribuidor), Rahmann, Sven (Contribuidor), Rahnenführer, Jörg (Contribuidor, Editor ), Ran, Ran (Contribuidor), Reining, Christopher (Contribuidor), Richter, Jakob (Contribuidor), Roidl, Moritz (Contribuidor), Saadallah, Amal (Contribuidor), Schramm, Alexander (Contribuidor), Schreckenberg, Michael (Contribuidor), Schäfer, Till (Contribuidor), Shpacovitch, Victoria (Contribuidor), Sliwa, Benjamin (Contribuidor), Stolpe, Marco (Contribuidor), Stöcker, Bianca K (Contribuidor), Tiemann, Janis (Contribuidor), Vranken, Tim (Contribuidor), Weichert, Frank (Contribuidor), Wiederkehr, Petra (Contribuidor), Wietfeld, Christian (Contribuidor, Editor ), Wüstefeld, Konstantin (Contribuidor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin ; Boston : De Gruyter, [2022]
Colección:De Gruyter STEM Ser.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Machine Learning under Resource Constraints.  |p Applications /  |c ed. by Katharina Morik, Christian Wietfeld, Jörg Rahnenführer. 
264 1 |a Berlin ;  |a Boston :  |b De Gruyter,  |c [2022] 
264 4 |c ©2023 
300 |a 1 online resource (VIII, 470 p.). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a De Gruyter STEM Ser. 
505 0 0 |t Frontmatter --  |t Contents --  |t 1 Editorial --  |t 2 Health / Medicine --  |t 2.1 Machine Learning in Medicine --  |t 2.2 Virus Detection --  |t 2.3 Cancer Diagnostics and Therapy from Molecular Data --  |t 2.4 Bayesian Analysis for Dimensionality and Complexity Reduction --  |t 2.5 Survival Prediction and Model Selection --  |t 2.6 Protein Complex Similarity --  |t 3 Industry 4.0 --  |t 3.1 Keynote on Industry 4.0 --  |t 3.2 Quality Assurance in Interlinked Manufacturing Processes --  |t 3.3 Label Proportion Learning --  |t 3.4 Simulation and Machine Learning --  |t 3.5 High-Precision Wireless Localization --  |t 3.6 Indoor Photovoltaic Energy Harvesting --  |t 3.7 Micro-UAV Swarm Testbed for Indoor Applications --  |t 4 Smart City and Traffic --  |t 4.1 Inner-City Traffic Flow Prediction with Sparse Sensors --  |t 4.2 Privacy-Preserving Detection of Persons and Classification of Vehicle Flows --  |t 4.3 Green Networking and Resource Constrained Clients for Smart Cities --  |t 4.4 Vehicle to Vehicle Communications: Machine Learning-Enabled Predictive Routing --  |t 4.5 Modelling of Hybrid Vehicular Traffic with Extended Cellular Automata --  |t 4.6 Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms --  |t 5 Communication Networks --  |t 5.1 Capacity Analysis of IoT Networks in the Unlicensed Spectrum --  |t 5.2 Resource-Efficient Vehicle-to-Cloud Communications --  |t 5.3 Mobile-Data Network Analytics Highly Reliable Networks --  |t 5.4 Machine Learning-Enabled 5G Network Slicing --  |t 5.5 Potential of Millimeter Wave Communications --  |t 6 Privacy --  |t 6.1 Keynote: Construction of Inference-Proof Agent Interactions --  |t Bibliography --  |t Index --  |t List of Contributors 
520 |a Machine Learning under Resource Constraints addresses novel machine learning algorithms that are challenged by high-throughput data, by high dimensions, or by complex structures of the data in three volumes. Resource constraints are given by the relation between the demands for processing the data and the capacity of the computing machinery. The resources are runtime, memory, communication, and energy. Hence, modern computer architectures play a significant role. Novel machine learning algorithms are optimized with regard to minimal resource consumption. Moreover, learned predictions are executed on diverse architectures to save resources. It provides a comprehensive overview of the novel approaches to machine learning research that consider resource constraints, as well as the application of the described methods in various domains of science and engineering. Volume 3 describes how the resource-aware machine learning methods and techniques are used to successfully solve real-world problems. The book provides numerous specific application examples. In the areas of health and medicine, it is demonstrated how machine learning can improve risk modelling, diagnosis, and treatment selection for diseases. Machine learning supported quality control during the manufacturing process in a factory allows to reduce material and energy cost and save testing times is shown by the diverse real-time applications in electronics and steel production as well as milling. Additional application examples show, how machine-learning can make traffic, logistics and smart cities more effi cient and sustainable. Finally, mobile communications can benefi t substantially from machine learning, for example by uncovering hidden characteristics of the wireless channel. 
546 |a In English. 
588 0 |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 03. Jan 2023). 
590 |a De Gruyter Online  |b De Gruyter Open Access eBooks 
650 4 |a Big Data. 
650 4 |a Eingebettete Systeme. 
650 4 |a Künstliche Intelligenz. 
650 4 |a Maschinelles Lernen. 
650 7 |a SCIENCE / Chemistry / General.  |2 bisacsh 
653 |a Artificial Intelligence. 
653 |a Big Data and Machine Learning. 
653 |a Cyber-physical systems. 
653 |a Data mining for Ubiquitous System Software. 
653 |a Embedded Systems and Machine Learning. 
653 |a Highly Distributed Data. 
653 |a ML on Small devices. 
653 |a Machine learning for knowledge discovery. 
653 |a Machine learning in high-energy physics. 
653 |a Resource-Aware Machine Learning. 
653 |a Resource-Constrained Data Analysis. 
700 1 |a Arendt, Christian,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Awasthi, Shrutarv,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Bektas, Caner,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Biskup, Joachim,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Borgwardt, Karsten,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Böcker, Stefan,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Büscher, Jan,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Cheng, Liang,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Deuse, Jochen,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Ding, Zeyu,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Falkenberg, Robert,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Finkeldey, Felix,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Gramse, Nils,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Haferkamp, Marcus,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Heimann, Karsten,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Hergenröder, Roland,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Hompel, Michael ten,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Häger, Simon,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Ickstadt, Katja,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Jutzeler, Catherine,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Jörke, Pascal,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Kriege, Nils,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Krieger, Cedrik,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Kurtz, Fabian,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Köster, Johannes,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Lang, Michel,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Liebig, Thomas,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Machado, Maximillian,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Masoudinejad, Mojtaba,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Morik, Katharina,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Morik, Katharina,  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Munteanu, Alexander,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Mutzel, Petra,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Overbeck, Dennis,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Panusch, Thorben,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Rahmann, Sven,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Rahnenführer, Jörg,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Rahnenführer, Jörg,  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Ran, Ran,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Reining, Christopher,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Richter, Jakob,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Roidl, Moritz,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Saadallah, Amal,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Schramm, Alexander,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Schreckenberg, Michael,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Schäfer, Till,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Shpacovitch, Victoria,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Sliwa, Benjamin,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Stolpe, Marco,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Stöcker, Bianca K,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Tiemann, Janis,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Vranken, Tim,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Weichert, Frank,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Wiederkehr, Petra,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Wietfeld, Christian,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
700 1 |a Wietfeld, Christian,  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Wüstefeld, Konstantin,  |e contributor.  |4 ctb  |4 https://id.loc.gov/vocabulary/relators/ctb 
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830 3 |a De Gruyter STEM Ser. 
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938 |a De Gruyter  |b DEGR  |n 9783110785982 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7156271 
994 |a 92  |b IZTAP