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Ordinal Regression via Manifold Learning
The Association for the Advancement of Artificial Intelligence
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The Association for the Advancement of Artificial Intelligence
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由 Y Liu 著作2011被引用 38 次 — In this paper, we present a novel ordinal re- gression approach via manifold learning, which is ca- pable of uncovering the embedded nonlinear structure of the ...
Ordinal Regression via Manifold Learning
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由 Y Liu 著作2011被引用 38 次 — In this paper, we present a novel ordinal regression approach via manifold learning, which is capable of uncovering the embedded nonlinear ...
有關 Ordinal Regression via Manifold Learning. 的學術文章 | |
Ordinal regression via manifold learning - Liu - 38 個引述 Regression models for ordinal data: A machine … - Herbrich - 73 個引述 … support vector learning for ordinal regression - Gu - 768 個引述 | |
Ordinal regression via manifold learning
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由 Y Liu 著作2011被引用 38 次 — In this paper, we present a novel ordinal regression approach via manifold learning, which is capable of uncovering the embedded nonlinear structure of the data ...
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本文主要探讨了在序回归（Ordinal Regression）领域内如何运用大边际（Large Margin）方法来定义等级边界的问题。序回归是一种用于处理有序分类变量预测问题的 ...
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2024年10月22日 — In this paper, we present a novel ordinal regression approach via manifold learning, which is capable of uncovering the embedded nonlinear ...
Ordinal Regression via Manifold Learning. | Request PDF
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Ordinal regression is an important research topic in machine learning. It aims to automatically determine the implied rating of a data item on a fixed, ...
Multi-task ordinal regression with labeled and unlabeled data
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由 Y Xiao 著作2023被引用 4 次 — The unlabeled samples are incorporated into the learning process via manifold regularization.•The knowledge is shared among different tasks by ...
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Semi-supervised manifold ordinal regression for image ranking
ACM Digital Library
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由 Y Liu 著作2011被引用 39 次 — In this paper, we present a novel algorithm called manifold ordinal regression (MOR) for image ranking. By modeling the manifold information in the ...
Incorporating Privileged Information to Improve Manifold ...
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由 M Pérez-Ortiz 著作2014被引用 1 次 — This paper contributes a new algorithm for combining ordinal regression and manifold learning, based on the idea of constructing a neighbourhood graph and ...
Multi-task ordinal regression with labeled and unlabeled data
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由 Y Xiao 著作2023被引用 4 次 — The multi-task ordinal regression problem is addressed. •. The unlabeled samples are incorporated into the learning process via manifold regularization.
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