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Generalized Mercer theorem and its application to feature space related to indefinite kernels

https://doi.org/10.1109/icmlc.2008.4620508
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcom.2001.0586openalex-snapshot
Learnability in Hilbert Spaces with Reproducing Kernels
inferredcites →https://doi.org/10.1007/978-3-540-45167-9_7openalex-snapshot
Maximal Margin Classification for Metric Spaces
inferredcites →https://doi.org/10.1007/978-3-642-65567-8openalex-snapshot
Indefinite Inner Product Spaces
inferredcites →https://doi.org/10.1007/bf02948823openalex-snapshot
Relationship between support vector set and kernel functions in SVM
inferredcites →https://doi.org/10.1007/s10994-006-7550-1openalex-snapshot
Kernels as features: On kernels, margins, and low-dimensional mappings
inferredcites →https://doi.org/10.1016/j.neucom.2006.12.002openalex-snapshot
On linear separability of data sets in feature space
inferredcites →https://doi.org/10.1016/s0167-8655(99)00023-9openalex-snapshot
Subspace classifier in the Hilbert space
inferredcites →https://doi.org/10.1016/s0893-6080(99)00097-0openalex-snapshot
How good are support vector machines?
inferredcites →https://doi.org/10.1016/s0925-2312(01)00643-9openalex-snapshot
Kernel methods: a survey of current techniques
inferredcites →https://doi.org/10.1109/72.914517openalex-snapshot
An introduction to kernel-based learning algorithms
inferredcites →https://doi.org/10.1109/tpami.2005.78openalex-snapshot
Feature space interpretation of SVMs with indefinite kernels
inferredcites →https://doi.org/10.1145/1015330.1015443openalex-snapshot
Learning with non-positive kernels
inferredcites →https://doi.org/10.2307/1271368openalex-snapshot
Statistical Learning Theory

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Statistical Machine Learning and Data Analytic Methods for Risk and Insurance
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Automatic speech patterns recognition of commands using SVM and PSO
inferred← citeshttps://doi.org/10.1108/dta-08-2022-0302openalex-snapshot
A novel twin-support vector machine for binary classification to imbalanced data
inferred← citeshttps://doi.org/10.1109/dsd51259.2020.00087openalex-snapshot
Combining Machine Learning and Formal Techniques for Small Data Applications - A Framework to Explore New Structural Materials
inferred← citeshttps://doi.org/10.1109/ijcnn.2015.7280407openalex-snapshot
Using Support Vector Machines and two dimensional discrete cosine transform in speech automatic recognition
inferred← citeshttps://doi.org/10.1109/intellisys.2015.7361215openalex-snapshot
Application of support vector machines and two dimensional discrete cosine transform in speech automatic recognition
inferred← citeshttps://doi.org/10.1109/ssci.2016.7850125openalex-snapshot
Automatic speech recognition using Support Vector Machine and Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1109/ssci.2017.8285180openalex-snapshot
Revealing properties of structural materials by combining regression-based algorithms and nano indentation measurements
inferred← citeshttps://doi.org/10.1109/zinc55034.2022.9840579openalex-snapshot
Plant Classification Using Firefly Algorithm and Support Vector Machine
inferred← citeshttps://doi.org/10.1128/aac.00265-24openalex-snapshot
Predicting anti-trypanosome effect of carbazole-derived compounds by powerful SVM with novel kernel function and comprehensive learning PSO
inferred← citeshttps://doi.org/10.1162/neco_a_00770openalex-snapshot
Indefinite Proximity Learning: A Review
inferred← citeshttps://doi.org/10.21307/ijssis-2017-718openalex-snapshot
Research and Restoration Technology of Video Motion Target Detection Based on Kernel Method
inferred← citeshttps://doi.org/10.3390/jimaging6090091openalex-snapshot
On the Use of Deep Active Semi-Supervised Learning for Fast Rendering in Global Illumination
inferred← citeshttps://doi.org/10.3390/ph18081092openalex-snapshot
Predicting EGFRL858R/T790M/C797S Inhibitory Effect of Osimertinib Derivatives by Mixed Kernel SVM Enhanced with CLPSO
inferred← citeshttps://doi.org/10.3390/s22030776openalex-snapshot
A Semi-Supervised 3D Indoor Localization Using Multi-Kernel Learning for WiFi Networks
inferred← citeshttps://doi.org/10.7287/peerj-cs.1214v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Anomaly detection for blueberry data using sparse autoencoder-support vector machine (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1214v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Anomaly detection for blueberry data using sparse autoencoder-support vector machine (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1214v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Anomaly detection for blueberry data using sparse autoencoder-support vector machine (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.1214v0.3/reviews/2openalex-snapshot
Peer Review #2 of "Anomaly detection for blueberry data using sparse autoencoder-support vector machine (v0.3)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.1214openalex-snapshot
Anomaly detection for blueberry data using sparse autoencoder-support vector machine
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