Results 91 to 100 of about 658,329 (307)

Least Squares Approach to Locally Weighted Naive Bayes Method

Journal of New Results in Science, 2012
This study proposes a new approach which calculates the weights of Locally Weighted Naive Bayes (LWNB) developed on Naive Bayes (NB) which is known with its simple structure.
Kemal Adem, Onur Comert, Umut Orhan
doaj  

A Least-Squares Method for the Solution of the Non-smooth Prescribed Jacobian Equation. [PDF]

J Sci Comput, 2022
Caboussat A, Glowinski R, Gourzoulidis D.   +2 more
europepmc   +1 more source

The skills required for transition to university and study in biological sciences: A student perspective

FEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

Benchmarking least squares support vector machine classifiers. [PDF]

In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Suykens, Johan, Vandewalle, Joos, De Moor, Bart, Van Gestel, Tony, Vanthienen, Jan, Baesens, Bart, Dedene, Guido, Viaene, Stijn   +7 more
core  

Application of structured total least squares for system identification and model reduction [PDF]

, 2004
The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series is a trajectory of a linear time invariant system of a
Pintelon, R., Van Huffel, S., Willems, J. C., Rik Pintelon, Ivan Markovsky, Jan C. Willems, Markovsky, I., Bart De Moor, Sabine Van Huffel, De Moor, B.   +9 more
core  

Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method. [PDF]

Angle Orthod, 2022
Moon JH, Kim MG, Hwang HW, Cho SJ, Donatelli RE, Lee SJ.   +5 more
europepmc   +1 more source

Molecular dynamics simulations of positively selected codons in FcγRI reveal novel biochemical binding properties

FEBS Open Bio, EarlyView.
Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young, Omar Arias‐Gaguancela, Fiona Gibson, Morgan Grainger, Jodie Score, Amit Nathubhai, Mauricio Cafiero, Lee Richard Machado   +7 more
wiley   +1 more source

Improved computation of Lagrangian tissue displacement and strain for cine DENSE MRI using a regularized spatiotemporal least squares method. [PDF]

Front Cardiovasc Med, 2023
Ghadimi S, Abdi M, Epstein FH.
europepmc   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

A T-wave alternans assessment method based on least squares curve fitting technique [PDF]

, 2016
T-wave alternans (TWA) is hypothesized to be related with patients at an increased risk for ventricular arrhythmias. A novel TWA assessment method based on least squares curve fitting techniques (LSCF) is presented in this paper.
Wu, Minghu, Liang, Jin, Li, Yan, Wan, Xiangkui, Wang, Na, Xia, Chong   +5 more
core   +1 more source