Kernel Methods and Machine Learning
From MaRDI portal
Publication:5166895
DOI10.1017/CBO9781139176224zbMath1317.68005MaRDI QIDQ5166895
No author found.
Publication date: 9 July 2014
principal component analysiscluster analysissupport vector machineskernel-based machine learningstatistical regression analysiskernel ridge regressors
Learning and adaptive systems in artificial intelligence (68T05) Research exposition (monographs, survey articles) pertaining to computer science (68-02)
Related Items (15)
A compressive privacy approach to generalized information bottleneck and privacy funnel problems ⋮ Machine learning aided stochastic elastoplastic analysis ⋮ Noise-enhanced convolutional neural networks ⋮ Constructing positive definite polynomials ⋮ Braverman’s Spectrum and Matrix Diagonalization Versus iK-Means: A Unified Framework for Clustering ⋮ A scalable Matérn Gaussian process for learning spatial curves distributions ⋮ Radial fuzzy systems ⋮ Learning low-dimensional nonlinear structures from high-dimensional noisy data: an integral operator approach ⋮ A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data ⋮ Hyperlink regression via Bregman divergence ⋮ Spectral stochastic isogeometric analysis for linear stability analysis of plate ⋮ Machine learning aided static structural reliability analysis for functionally graded frame structures ⋮ ERBlox: combining matching dependencies with machine learning for entity resolution ⋮ Stochastic nonlocal damage analysis by a machine learning approach ⋮ Pricing high-dimensional American options by kernel ridge regression
This page was built for publication: Kernel Methods and Machine Learning