Results 131 to 140 of about 3,980 (174)

Enhanced thermoelectric performance in Fe₂V_0.8W_0.2Al thin films: synergistic effects of chemical ordering and tungsten substitution.

J Mater Chem A Mater
Domínguez-Vázquez JM, Tenaguillo MÁ, Lohani K, Caballero-Calero O, Manzano CV, Plata JJ, Marquez AM, Cebollada A, Conca A, Martín-González M.   +9 more
europepmc   +1 more source

Recent cloud trends and extremes reaffirm moderate climate sensitivity

Zelinka M, Myers T, Qin Y, Chao L, Klein S, Po-Chedley S, Ma P, Wall C, Ceppi P, Gettelman A.   +9 more
europepmc   +1 more source

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Multivariate Multilinear Regression

IEEE Transactions on Systems, Man, and Cybernetics, 2012
Conventional regression methods, such as multivariate linear regression (MLR) and its extension principal component regression (PCR), deal well with the situations that the data are of the form of low-dimensional vector. When the dimension grows higher, it leads to the under sample problem (USP): the dimensionality of the feature space is much higher ...
Dacheng Tao, Xuelong Li, Xinbo Gao
exaly   +4 more sources

Prediction of Sweetness by Multilinear Regression Analysis and Support Vector Machine

Journal of Food Science, 2013
Abstract The sweetness of a compound is of large interest for the food additive industry. In this work, 2 quantitative models were built to predict the logSw (the logarithm of sweetness) of 320 unique compounds with a molecular weight from 132 to 1287 and a sweetness from 22 to 22500000.
Yue Kong
exaly   +3 more sources

Regression coefficients in multilinear PLS

Journal of Chemometrics, 1998
Three alternative approaches are discussed for finding the final calibration model (regression coefficients) in PLS regression of k-way Y on N-way X. The simplest approach is to skip the deflation of the X-data. From the observation that the specific deflation used in multiway PLS is inconsequential, it also follows that Bro's tri-PLS is equivalent to ...
exaly   +2 more sources

Multilinear regression analysis of antiviral medications with topological indices

Journal of Molecular Graphics and Modelling
Topological indices are effective tools for modeling and predicting the molecular structure and physicochemical properties of medications, eliminating the need for lengthy laboratory procedures. Topological indices offer the benefit of acting as fundamental numerical indicators in models related to quantitative structure-property relationships (QSPR ...
Selvarani P
exaly   +3 more sources

Prediction of bioactivity of ACAT2 inhibitors by multilinear regression analysis and support vector machine

Bioorganic and Medicinal Chemistry Letters, 2013
Two quantitative structure-activity relationships (QSAR) models for predicting 95 compounds inhibiting Acyl-coenzyme A: cholesterol acyltransferase2 (ACAT2) were developed. The whole data set was randomly split into a training set including 72 compounds and a test set including 23 compounds.
Bin Dai, Yue Kong
exaly   +3 more sources

Multilinear Jointly Sparse Robust Discriminant Regression

Proceedings of the 2020 9th International Conference on Computing and Pattern Recognition, 2020
Tensor data, such as image, video, etc. is drawing more and more attention from researchers. Therefore, in this paper, we will focus on the tensor data, proposing a novel tensor-based feature extraction model. Previously, Lai et al. proposed Robust Discriminant Regression (RDR) by using L2, 1 -norm as basic metric to improve the robustness of model ...
Zhuozhen Yu, Zhihui Lai 0001, Yusheng Lai   +2 more
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Correct and incorrect use of multilinear regression

Chemometrics and Intelligent Laboratory Systems, 1995
Abstract Multilinear regression is applied when experimenters wish to investigate the relationship between a block of predictor variables ( X ), whose values are fixed by the experimenter, and one or more responses ( Y ), measured at each experiment.
M. Sergent, D. Mathieu, R. Phan Tan Luu, DRAVA, GIULIANA   +3 more
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Further Multilinear Regression

2010
For one regressor x, simple linear regression is fine for fitting straight-line trends. But what about more general trends – quadratic trends, for example? (E.g. height against time for a body falling under gravity is quadratic.) Or cubic trends? (E.g.: the van der Waals equation of state in physical chemistry.) Or quartic? – etc.
N. H. Bingham, John M. Fry
openaire   +1 more source