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Analysis of regularized least-squares in reproducing kernel Kreĭn spaces
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Native Hilbert Spaces for Radial Basis Functions I
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Indefinite Inner Product Spaces
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Generalization of the Bauer-Fike theorem
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Zur SpektraltheorieJ-selbstadjungierter Operatoren
inferredcites →https://doi.org/10.1007/s10107-015-0907-0openalex-snapshot
S-lemma with equality and its applications
inferredcites →https://doi.org/10.1007/s10107-017-1206-8openalex-snapshot
Eigenvalue-based algorithm and analysis for nonconvex QCQP with one constraint
inferredcites →https://doi.org/10.1007/s10208-004-0155-9openalex-snapshot
Learning Rates of Least-Square Regularized Regression
inferredcites →https://doi.org/10.1007/s10444-013-9317-0openalex-snapshot
Quantile regression with ℓ 1—regularization and Gaussian kernels
inferredcites →https://doi.org/10.1007/s10994-015-5542-8openalex-snapshot
Large margin classification with indefinite similarities
inferredcites →https://doi.org/10.1007/s10994-018-5762-9openalex-snapshot
Learning rates for kernel-based expectile regression
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Unsupervised feature selection based on kernel fisher discriminant analysis and regression learning
inferredcites →https://doi.org/10.1016/0378-4754(89)90164-xopenalex-snapshot
Linear algebra and its applications
inferredcites →https://doi.org/10.1016/0378-4754(91)90038-5openalex-snapshot
Matrix perturbation theory
inferredcites →https://doi.org/10.1016/j.acha.2017.11.005openalex-snapshot
Optimal rates for coefficient-based regularized regression
inferredcites →https://doi.org/10.1016/j.jco.2010.10.002openalex-snapshot
Optimal learning rates for least squares regularized regression with unbounded sampling
inferredcites →https://doi.org/10.1016/j.laa.2009.03.008openalex-snapshot
Projections in Krein spaces
inferredcites →https://doi.org/10.1017/cbo9780511617539openalex-snapshot
Scattered Data Approximation
inferredcites →https://doi.org/10.1109/icme.2005.1521373openalex-snapshot
Conditionally Positive Definite Kernels for SVM Based Image Recognition
inferredcites →https://doi.org/10.1109/tnn.2005.848998openalex-snapshot
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
inferredcites →https://doi.org/10.1109/tnnls.2017.2668610openalex-snapshot
Classification With Truncated $\ell _{1}$ Distance Kernel
inferredcites →https://doi.org/10.1109/tpami.2008.290openalex-snapshot
Kernel Discriminant Analysis for Positive Definite and Indefinite Kernels
inferredcites →https://doi.org/10.1109/tpami.2015.2477830openalex-snapshot
Learning SVM in Kreĭn Spaces
inferredcites →https://doi.org/10.1109/tpami.2022.3198638openalex-snapshot
SimpleMKKM: Simple Multiple Kernel K-Means
inferredcites →https://doi.org/10.1142/9789812796936_0011openalex-snapshot
THE VARIATION OF THE SPECTRUM OF A NORMAL MATRIX
inferredcites →https://doi.org/10.1145/1015330.1015443openalex-snapshot
Learning with non-positive kernels
inferredcites →https://doi.org/10.1162/neco_a_00770openalex-snapshot
Indefinite Proximity Learning: A Review
inferredcites →https://doi.org/10.1198/106186005x25619openalex-snapshot
Kernel Logistic Regression and the Import Vector Machine
inferredcites →https://doi.org/10.1214/009053606000001226openalex-snapshot
Fast rates for support vector machines using Gaussian kernels
inferredcites →https://doi.org/10.1214/15-aos1332openalex-snapshot
Minimax estimation in sparse canonical correlation analysis
inferredcites →https://doi.org/10.22152/programming-journal.org/2017/1/1openalex-snapshot
Effective Analysis of C Programs by Rewriting Variability
inferredcites →https://doi.org/10.3929/ethz-a-000486121openalex-snapshot
A constrained eigenvalue problem
inferredcites →https://doi.org/10.48550/arxiv.1208.2015openalex-snapshot
Sharp analysis of low-rank kernel matrix approximations
inferredcites →https://doi.org/10.48550/arxiv.1602.04474openalex-snapshot
Generalization Properties of Learning with Random Features
inferredcites →https://doi.org/10.48550/arxiv.1804.03329openalex-snapshot
Representation Tradeoffs for Hyperbolic Embeddings
inferredcites →https://doi.org/10.48550/arxiv.1809.02157openalex-snapshot
Scalable Learning in Reproducing Kernel Krein Spaces
inferredcites →https://doi.org/10.48550/arxiv.1905.10680openalex-snapshot
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4661955openalex-extracted
Imbalanced Classification Krein Spaces Kernel Methods Support Vector Machines
inferred← citeshttps://doi.org/10.1007/978-3-031-78003-5_7openalex-snapshot
Data-Driven Methods and Adaptive Control: Stochastic Analysis
inferred← citeshttps://doi.org/10.1007/s10898-023-01330-8openalex-snapshot
Separating disconnected quadratic level sets by other quadratic level sets
inferred← citeshttps://doi.org/10.1007/s11069-026-08039-3openalex-snapshot
Spatio-temporal analysis of climate-driven drought dynamics in Pakistan using geo-spatial and machine learning approaches
inferred← citeshttps://doi.org/10.1016/j.cmpb.2023.107773openalex-snapshot
Vigilance Estimation Using Truncated L1 Distance Kernel-Based Sparse Representation Regression with Physiological Signals
inferred← citeshttps://doi.org/10.1016/j.patrec.2024.03.017openalex-snapshot
Kreĭn twin support vector machines for imbalanced data classification
inferred← citeshttps://doi.org/10.37394/23206.2022.21.4openalex-snapshot
Reproducing Kernel in Krein Spaces
inferred← citeshttps://doi.org/10.48550/arxiv.2310.13821openalex-snapshot
Geometric Learning with Positively Decomposable Kernels
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