Beyond Quantity : Research with Subsymbolic AI / / ed. by Alexander Waibel, Jens Schröter, Fabian Retkowski, Markus Ramsauer, Anna Echterhölter, Andreas Sudmann |
Pubbl/distr/stampa | Bielefeld : , : transcript Verlag, , [2023] |
Descrizione fisica | 1 online resource (360 p.) |
Collana | KI-Kritik |
Soggetto topico | SOCIAL SCIENCE / Media Studies |
Soggetto non controllato |
Artificial Neural Networks
Computer Sciences Digital Media Digitalization Machine Learning Media Studies Research on Research Sociology of Media Sociology of Science Subsymbolic AI Technology |
ISBN | 3-8394-6766-7 |
Classificazione | ST 300 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Frontmatter -- Contents -- Acknowledgements -- Introduction -- Research with Subsymbolic AI -- When Achilles met the tortoise -- From algorithmic thinking to thinking machines -- A new canary in the coal mine? -- Cross-interactions between AI and epistemology -- AI and the work of patterns -- Artificial Intelligence in medicine -- Subsymbolic, hybrid and explainable AI -- AI-based approaches in Cultural Heritage -- Interfaces of AI -- Media and the transformative potential of AI in the scientific field -- Putting the AI into social science -- Science in the era of ChatGPT, large language models and generative AI -- The current state of summarization -- Opacity and reproducibility in data processing -- AI in mathematics -- Artificial Intelligence as a cultural technique -- List of contributors -- Editorial |
Record Nr. | UNISA-996565570303316 |
Bielefeld : , : transcript Verlag, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Bioinformatics Applications Based On Machine Learning |
Autore | Chamoso Pablo |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (206 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
machine learning
metagenomics bioinformatics CTX-M data mining cluster clinical implications diabetes epidemiology forecast PART Decision table Weka real-life patients regression ear detection computer vision convolutional neural network image recognition video analysis gene clustering swarm intelligence biological functions detection informative genes fuel cell hydrogen energy intelligent systems hybrid systems Artificial Neural Networks power management Machine Learning personality assessment gradient boosting Affective Computing transposable elements metrics deep learning detection classification mitochondrial protein bi-directional LSTM plasmodium falciparum Particle Swarm Optimization Harmony Search parameter estimation Arabidopsis thaliana clinical data feature selection genetic programming evolutionary computation dynamic models evolutionary computing derivative-free optimization metabolism glycolysis yeast |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910674055503321 |
Chamoso Pablo | ||
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence Applied to Inverse Problems in Radiative Transfer / Antônio José da Silva Neto, José Carlos Becceneri, Haroldo Fraga de Campos Velho editors |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xxxviii, 228 p. : ill. ; 24 cm |
Soggetto non controllato |
Artificial Neural Networks
Bio-inspired algorithms Computational intellilgence Differential equations Differential evolution Genetic Algorithms Inverse Problems Luus-Jaakola method Metaheuristics Optimization Radiation Radiative transfer Stochastic and hybrid methods |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278761 |
Cham, : Springer, 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Computational Intelligence Applied to Inverse Problems in Radiative Transfer / Antônio José da Silva Neto, José Carlos Becceneri, Haroldo Fraga de Campos Velho editors |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xxxviii, 228 p. : ill. ; 24 cm |
Soggetto topico |
80-XX - Classical thermodynamics, heat transfer [MSC 2020]
80A23 - Inverse problems in thermodynamics and heat transfer [MSC 2020] 80M50 - Optimization problems in thermodynamics and heat transfer [MSC 2020] |
Soggetto non controllato |
Artificial Neural Networks
Bio-inspired algorithms Computational intellilgence Differential equations Differential evolution Genetic Algorithms Inverse Problems Luus-Jaakola method Metaheuristics Optimization Radiation Radiative transfer Stochastic and hybrid methods |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00278761 |
Cham, : Springer, 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Data Mining in Structural Dynamic Analysis : A Signal Processing Perspective / Yun Lai Zhou … [et al.] editors] |
Pubbl/distr/stampa | Singapore, : Springer, 2019 |
Descrizione fisica | x, 169 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
70-XX - Mechanics of particles and systems [MSC 2020] 00A79 (77-XX) - Physics [MSC 2020] |
Soggetto non controllato |
Artificial Neural Networks
BIM management Bridge design optimization Damage identification Hilbert transform Image segmentation algorithm Life-cycle analysis Model updating Particle swarm optimization algorithm Structural damage localization Structural design optimization Structural health monitoring Wavelet theory Wind turbine blade condition |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0219517 |
Singapore, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Data Mining in Structural Dynamic Analysis : A Signal Processing Perspective / Yun Lai Zhou … [et al.] editors] |
Pubbl/distr/stampa | Singapore, : Springer, 2019 |
Descrizione fisica | x, 169 p. : ill. ; 24 cm |
Soggetto topico |
00A79 (77-XX) - Physics [MSC 2020]
68-XX - Computer science [MSC 2020] 70-XX - Mechanics of particles and systems [MSC 2020] |
Soggetto non controllato |
Artificial Neural Networks
BIM management Bridge design optimization Damage identification Hilbert transform Image segmentation algorithm Life-cycle analysis Model updating Particle swarm optimization algorithm Structural damage localization Structural design optimization Structural health monitoring Wavelet theory Wind turbine blade condition |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00219517 |
Singapore, : Springer, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Fundamentals of Supervised Machine Learning : With Applications in Python, R, and Stata / Giovanni Cerulli |
Autore | Cerulli, Giovanni |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xxiv, 391 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
Soggetto non controllato |
Artificial Neural Networks
Classification Deep Learning Discriminant Analysis Machine Learnig Applications in Medicine and Epidemiology Machine Learning Applications in the Social Sciences Machine learning Model selection Nearest Neighbors Nonparametric Fitting Ontology of Machine Learning Python R software Regularization Sentiment analysis Statistical learning Statistics Supervised machine learning Support Vector Machines Trees |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00278813 |
Cerulli, Giovanni | ||
Cham, : Springer, 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Mathematical Structures of Natural Intelligence / Yair Neuman |
Autore | Neuman, Yair |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xvii, 173 p. : ill. ; 24 cm |
Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] 00Axx - General and miscellaneous specific topics [MSC 2020] |
Soggetto non controllato |
Artificial Neural Networks
Category Theory Geometry of mind Madman and the dentist Models of cognitive processes Natural intelligence Neo-structuralist theory of intelligence Neural networks Neural networks and groupoids Piaget's tour de force Relational epistomology Structuralist modeling |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124253 |
Neuman, Yair | ||
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Mathematical Structures of Natural Intelligence / Yair Neuman |
Autore | Neuman, Yair |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xvii, 173 p. : ill. ; 24 cm |
Soggetto topico |
00Axx - General and miscellaneous specific topics [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] |
Soggetto non controllato |
Artificial Neural Networks
Category Theory Geometry of mind Madman and the dentist Models of cognitive processes Natural intelligence Neo-structuralist theory of intelligence Neural networks Neural networks and groupoids Piaget's tour de force Relational epistomology Structuralist modeling |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00124253 |
Neuman, Yair | ||
Cham, : Springer, 2017 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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Neural-Network Simulation of Strongly Correlated Quantum Systems : Doctoral Thesis accepted by Heidelberg University, Heidelberg, Germany / Stefanie Czischek |
Autore | Czischek, Stefanie |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xv, 205 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
82C22 - Interacting particle systems in time-dependent statistical mechanics [MSC 2020] 82C32 - Neural nets applied to problems in time-dependent statistical mechanics [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
Soggetto non controllato |
Artificial Neural Networks
Neural-Network Quantum States Neuromorphic Hardware Quantum machine learning Quantum many-body systems Quantum spin systems Qubits Spiking Neurons Spin-1/2 Particles |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0229422 |
Czischek, Stefanie | ||
Cham, : Springer, 2020 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
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