ERM learning algorithm for multi-class classification
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Publication:2909368
DOI10.1080/00036811.2011.569496zbMath1260.68350OpenAlexW2011843394WikidataQ58284396 ScholiaQ58284396MaRDI QIDQ2909368
Publication date: 30 August 2012
Published in: Applicable Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00036811.2011.569496
General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05)
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Cites Work
- Multi-kernel regularized classifiers
- Parzen windows for multi-class classification
- Statistical behavior and consistency of classification methods based on convex risk minimization.
- Learning with sample dependent hypothesis spaces
- Learning rates of least-square regularized regression
- Learning theory estimates via integral operators and their approximations
- On the mathematical foundations of learning
- SVM LEARNING AND Lp APPROXIMATION BY GAUSSIANS ON RIEMANNIAN MANIFOLDS
- Learning Theory
- Capacity of reproducing kernel spaces in learning theory
- ONLINE LEARNING WITH MARKOV SAMPLING
- ESTIMATING THE APPROXIMATION ERROR IN LEARNING THEORY
- Leave-One-Out Bounds for Kernel Methods
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