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Kernel ridge regression
V Vovk - Empirical inference: Festschrift in honor of vladimir n …, 2013 - Springer
This chapter discusses the method of Kernel Ridge Regression, which is a very simple
special case of Support Vector Regression. The main formula of the method is identical to a …
special case of Support Vector Regression. The main formula of the method is identical to a …
Refined risk bounds for unbounded losses via transductive priors
We revisit the sequential variants of linear regression with the squared loss, classification
problems with hinge loss, and logistic regression, all characterized by unbounded losses in …
problems with hinge loss, and logistic regression, all characterized by unbounded losses in …
An identity for kernel ridge regression
F Zhdanov, Y Kalnishkan - Theoretical Computer Science, 2013 - Elsevier
An identity for kernel ridge regression Page 1 Theoretical Computer Science 473 (2013) 157–178
Contents lists available at SciVerse ScienceDirect Theoretical Computer Science journal …
Contents lists available at SciVerse ScienceDirect Theoretical Computer Science journal …
[PDF][PDF] Theory and applications of competitive prediction
F Zhdanov - 2011 - pure.royalholloway.ac.uk
Predicting the future is an important purpose of machine learning research. In online
learning, predictions are given sequentially rather than all at once. People wish to make …
learning, predictions are given sequentially rather than all at once. People wish to make …
Beating human analysts in nowcasting corporate earnings by using publicly available stock price and correlation features
Corporate earnings are a crucial indicator for investment and business valuation. Despite
their importance and the fact that classic econometric approaches fail to match analyst …
their importance and the fact that classic econometric approaches fail to match analyst …
A novel method of micro-tomography geometric angle calibration with random phantom
The objective of this study is to develop and test the feasibility of applying a machine
learning method for geometry calibration of angles in micro-tomography systems. Increasing …
learning method for geometry calibration of angles in micro-tomography systems. Increasing …
[CYTOWANIE][C] Применение гребневой регрессии в машинном обучении
НИ Захарова, ВВ Захаров - Актуальные проблемы прикладной …, 2018 - elibrary.ru