Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation
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Publication:5380548
DOI10.1162/NECO_a_00844zbMath1474.68284arXiv1508.00085WikidataQ50513557 ScholiaQ50513557MaRDI QIDQ5380548
Hiroaki Sasaki, Ikko Yamane, Masashi Sugiyama
Publication date: 5 June 2019
Published in: Neural Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1508.00085
Density estimation (62G07) Nonparametric estimation (62G05) Learning and adaptive systems in artificial intelligence (68T05)
Related Items
Direct Density Derivative Estimation, Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction
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Cites Work
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- A penalty method for nonparametric estimation of the logarithmic derivative of a density function
- Projection pursuit
- Adaptive estimates for autoregressive processes
- The estimation of the gradient of a density function, with applications in pattern recognition
- Minimizing Certain Convex Functions
- Information-Maximization Clustering Based on Squared-Loss Mutual Information
- On Learning Vector-Valued Functions
- Soft margins for AdaBoost