Results 261 to 270 of about 2,020,990 (315)

Microstructure-Machinability correlation in heat treated AISI 1040 steel: Comparative analysis of tool life and surface roughness. [PDF]

PLoS One
Poojary UR, Hegde A, Hegde S, Mahale RS.
europepmc   +1 more source

Clinical findings and risk factors for clinical outcomes in dogs with myxomatous mitral valve disease hospitalized for cardiogenic pulmonary edema. [PDF]

Front Vet Sci
Yin CY, Lu TL, Rush J, Lee TJ, Chang CY.
europepmc   +1 more source

Hospital-Wide Safety Performance Affects Complication Rates After Primary Total Hip and Knee Arthroplasty. [PDF]

Arthroplast Today
Byrne AR, Buchalter WH, Dash AS, Redler LH, Greene NE, Sarpong NO.   +5 more
europepmc   +1 more source

The impact of regressed endometrial hyperplasia on reproductive outcomes following frozen embryo transfer: a propensity score-matched cohort study. [PDF]

Front Endocrinol (Lausanne)
Zhu Q, Xu L, Xu B, Lu Y, Wei Z, Zhang W, Meng Y, Shao C, Shi M, He Y, Huang J, Wang Y, Qi J, Ding Y, Sun Y.   +14 more
europepmc   +1 more source

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Optimal learning rates for distribution regression

Journal of Complexity, 2020
A learning algorithm is studied for distribution regression with regularized least squares (RLS). The algorithm contains two stages of samples and aims at regressing from distributions to real valued outputs. The first stage sample consists of (unknown) probability distributions \(x_i, i=1,\ldots,l,\) and the second stage sample consists of the data ...
Zhiying Fang, Zheng-Chu Guo, Ding-Xuan Zhou   +2 more
openaire   +1 more source

Learning rate of distribution regression with dependent samples

Journal of Complexity, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shunan Dong, Wenchang Sun
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Explaining Unemployment Rates with Symbolic Regression

2014
Much of the research on the accuracy of symbolic regression (SR) has focused on artificially constructed search problems where there is zero noise in the data. Such problems admit of exact solutions but cannot tell us how accurate the search process is in a noisy real world domain. To explore this question symbolic regression is applied here to an area
Philip Truscott, Michael F. Korns
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LEARNING RATES OF REGULARIZED REGRESSION FOR FUNCTIONAL DATA

International Journal of Wavelets, Multiresolution and Information Processing, 2009
The study of regularized learning algorithms is a very important issue and functional data analysis extends classical methods. We establish the learning rates of the least square regularized regression algorithm in reproducing kernel Hilbert space for functional data. With the iteration method, we obtain fast learning rate for functional data.
Yong-Li Xu, Di-Rong Chen
openaire   +1 more source