503 hasil untuk machine learning
Menampilkan 381–400 · 0,26 detik · RSS
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Computer Aided Verification
…or extend formal methods to a wide range of domains such as concurrency, machine learning and neural networks, quantum systems, as well as hybrid and stochastic systems.
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Artificial Intelligence Technology
…The book provides a detailed elaboration of the basic concepts of AI, machine learning, as well as other relevant topics, including deep learning, deep learning framework, Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and…
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Mobile Edge Computing
…when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management. The book allows an easy cross-reference owing to the broad coverage…
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Graphs for Pattern Recognition
…objects of combinatorial topology. The methods of data mining and machine learning discussed in this monograph form the foundation of technologies like big data and deep learning, which play a growing role in many areas of human-technology interaction and help to find solutions, better solutions…
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Methods for Analyzing Large Neuroimaging Datasets
…toolboxes for interrogating large neuroimaging datasets, including machine learning and deep learning approaches. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Authoritative and…
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Artificial Intelligence in Oncology Drug Discovery and Development
…unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve…
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The Novel in the Spanish Silver Age
…(lexicography), Literary Studies (genre theory), and Computer Science (machine learning, natural language processing). Located in the interdisciplinary field of Digital Humanities, this study analyzes a newly developed corpus of 358 Spanish novels of the silver age (1880-1939), which includes…
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Revealing Relations
…knowledge infrastructures—including satellite tracking, climate models, machine learning and citizen science apps—shape our understanding of contemporary crises. Rooted in logics of resource assessment, these systems often reinforce extractive thinking, even when intended to protect. Beaulieu calls…
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Orte und Räume im Roman
…analysiert und quantifiziert werden kann. Das Modell ist Grundlage eines Machine-Learning- Trainings, mit Hilfe dessen ein Tool trainiert wurde, das Ausdrücke, die in die Kategorien des theoriebasierten Modells fallen, automatisch erkennt und annotiert. In einem Kernkorpus aus 100 Romanen aus vier…
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Computer Aided Verification
…hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks…
Juga tersedia di: OAPEN
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Bab Buku Teks lengkap
Chapter L’adolescente in relazione all’ecosistema ipertecnologico e lo sviluppo di nuovi modelli pedagogici per il XXI secolo
…thoughts. The transformations of the relationship between human being and machine are triggering scientific-humanistic reflections useful for developing new paradigms of interpretation of an extended reality that overlaps the physical and virtual worlds. The human being is projected into an onlife…
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Volunteered Geographic Information
…VGI. It includes semantic representation of VGI data in knowledge graphs; machine-learning approaches to VGI mining, completion, and enrichment as well as to the improvement of data quality and fitness for purpose. Part II "Geovisualization and User Interactions related to VGI" book explores…
Juga tersedia di: OAPEN
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Youth Suicide Prevention and Intervention
…discoveries in the neurobiology of suicide, psychopharmacology, and machine learning. It focuses on upstream suicide prevention research methods and details how cost-effective approaches can mitigate youth suicide risk when implemented at a universal level. Chapters discuss critical areas for…
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Computer Aided Verification
…automata and logic; deductive verification and decision procedures; machine learning; synthesis and concurrency. This is an open access book.
Juga tersedia di: OAPEN
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Sine Cosine Algorithm for Optimization
…advantages have been demonstrated in various applications ranging from machine learning, engineering design, and wireless sensor network to environmental modeling. The book provides a comprehensive account of the SCA, including details of the underlying ideas, the modified versions, various…
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SIS 2017. Statistics and Data Science: new challenges, new generations
…has brought new challenges. That involves different fields of statistics, machine learning, information and computer science, optimization, pattern recognition. These afford together a considerable contribute in the analysis of ‘Big data’, open data, relational and complex data, structured and…
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Bab Buku Teks lengkap
Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests
The growing success of Machine Learning (ML) is making significant improvements to predictive models, facilitating their integration in various application fields, especially the healthcare context. However, it still has limitations and drawbacks, such as the lack of interpretability which does not…