„deep kernel learning“

Suchergebnisse

1.000+ Treffer

• Mathematical introduction to Data Science
  Wegner, Sven-Ake 2024 Springer
• Pairwise decomposition with deep neural networks and multiscale kernel subspace learning for acoustic scene classification
  Marchi, Erik ; Tonelli, Dario ; Xu, Xinzhou ; Ringeval, Fabien ; Deng, Jun ; Squartini, Stefano ; Schuller, Björn ; Virtanen, Tuomas ; Mesaros, Annamaria ; Heittola, Toni ; Plumbley, Mark D. ; Foster, Peter ; Benetos, Emmanouil ; Lagrange, Mathieu ; Tampereen, Teknillinen Yliopisto 2016 Universität Augsburg
• A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options
  Zhuang, Jirong ; Ding, Deng ; Lu, Weiguo ; Wu, Xuan ; Yuan, Gangnan
• Mathematics of Deep Learning – An Introduction to Foundational Mathematics of Neural Nets
  Berlyand, Leonid ; Jabin, Pierre-Emmanuel 2026 De Gruyter
• Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images
  Eliazer, M. ; Amaran, Sibi ; Sreekumar, K. ; Vikram, A. ; Joshi, Gyanendra Prasad ; Cho, Woong
• Efficient scalable deep kernels: unifying deep learning and nonparametric methods for large-scale data analysis
  Hamidi, M. ; Azhdari, P. ; Vajargah, K. Fathi
• An integrated model based on deep kernel extreme learning machine and variational mode decomposition for day-ahead electricity load forecasting
  Yıldız, Ceyhun
• Fuzzy-twin proximal SVM kernel-based deep learning neural network model for hyperspectral image classification
  Krishna, Sanaboina Leela ; Jeya, I. Jasmine Selvakumari ; Deepa, S. N.
• Protein fold recognition using Deep Kernelized Extreme Learning Machine and linear discriminant analysis
  Ibrahim, Wisam ; Abadeh, Mohammad Saniee
• Extreme learning machine with kernel model based on deep learning
  Ding, Shifei ; Guo, Lili ; Hou, Yanlu
• A representer theorem for deep kernel learning
  Bohn, Bastian ; Griebel, Michael ; Rieger, Christian 2019 Universitäts- und Landesbibliothek Bonn
• Deep and greedy kernel methods – algorithms, analysis and applications
  Wenzel, Tizian ; Haasdonk, Bernard 2023 Universitätsbibliothek der Universität Stuttgart
• Unsupervised approaches for time-evolving graph embeddings with application to human microbiome
  Melnyk, Kateryna 2024 Freie Universität Berlin
• Efficient learning machines – from kernel methods to deep learning
  Alber, Maximilian ; Müller, Klaus-Robert ; Sha, Fei ; Markl, Volker 2019 Technische Universität Berlin
• Analyzing training dynamics of deep neural networks: insights and limitations of the neural tangent kernel regime
  Seleznova, Mariia ; Kutyniok, Gitta 2024 Universitätsbibliothek der Ludwig-Maximilians-Universität
• Stochastic variational deep kernel learning based diabetic retinopathy severity grading
  Siebert, Marlin ; Tesmer, Nikolay ; Rostalski, Philipp
• Ensemble Local Mean Decomposition and DFA based Kernel Ensemble Deep Learning for Detection of Microgrid Disturbances
  Pattnaik, Smruti Rekha ; Dash, P. K. ; Bisoi, Ranjeeta
• Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks
  Strohbeck, Jan ; Müller, Johannes Christian ; Herrmann, Martin ; Buchholz, Michael 2022 Universität Ulm
• Advances in Deep Neural, Transformer Learning, and Kernel-Based Methods for Diabetic Retinopathy Detection: A Comprehensive Review
  Banerjee, Tathagat ; Singh, Davinder Paul ; Kour, Pawandeep
• Handling heteroscedasticity in kernelized extreme learning machine based regression and deep learning models for traffic sign detection using box cox and Yeo Johnson transformations
  Chandnani, Manali ; Shukla, Sanyam ; Wadhvani, Rajesh