Results 61 to 70 of about 1,574 (90)

Label Ranking Through Nonparametric Regression

Theory of Computing Systems
Abstract Label Ranking (LR) corresponds to the problem of learning a hypothesis that maps features to rankings over a finite set of labels. We adopt a nonparametric regression approach to LR and obtain theoretical performance guarantees for this fundamental practical problem. We introduce a generative model for Label Ranking, in noiseless and
Fotakis, Dimitris, Kalavasis, Alkis, Psaroudaki, Eleni   +2 more
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Nonparametric quantile regression captures regional variability and scaling deviations in Atlantic surfclam length–weight relationships

Scientific Reports
The universality of the allometric model for describing the length–weight relationship in marine species has been questioned, particularly for some invertebrates such as sea urchins, clams, and barnacles.
Gorka Bidegain, Marta Sestelo, Patricia L. Luque, Eric N. Powell, Arantza Irirarte, Ibon Uriarte, Daphne Munroe   +6 more
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Online Nonparametric Regression

, 2014
We establish optimal rates for online regression for arbitrary classes of regression functions in terms of the sequential entropy introduced in (Rakhlin, Sridharan, Tewari, 2010). The optimal rates are shown to exhibit a phase transition analogous to the i.i.d./statistical learning case, studied in (Rakhlin, Sridharan, Tsybakov 2013). In the frequently
Rakhlin, Alexander, Sridharan, Karthik
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Isotonic and Convex Regression: A Review of Theory, Algorithms, and Applications

Mathematics
Shape-restricted regression provides a flexible framework for estimating an unknown relationship between input variables and a response when little is known about the functional form, but qualitative structural information is available. In many practical
Eunji Lim
doaj   +1 more source

Nonparametric regression - some approaches

Mathematical communications, 1996
In this paper we describe two approaches to nonparametric regression. First, we consider the nearest neighbour approach, as a procedure which serves mainly for obtaining an ad hoc smoothing and interpolating. Next, we describe the roughness penalty approach.
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Calibration Transfer Based on Nonparametric Varying Coefficient Regression

ACS Omega
Junwei Guo, Nuohan Zhang, Beibei Li, Yipeng Wang, Meijuan Fan, Jinxia Liu, Feng Li, Zhe Jin, Sanying Feng, Song Yang, Fuwei Xie, Cong Nie, Le Zhao, Hongbo Wang   +13 more
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Generalized Nonparametric Regression∗ [PDF]

, 2000
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Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study

Journal of Statistical Software, 2001
Theofanis Sapatinas, Jérémie Bigot, Anestis Antoniadis   +2 more
doaj  

Nonparametric nonstationary regression

, 2008
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A nonparametric regression method

Nonlinear Analysis: Theory, Methods & Applications, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Huang, M. L., Brill, P. H.
openaire   +2 more sources