[PDF] Top 20 The alternating least-squares algorithm for CDPCA
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The alternating least-squares algorithm for CDPCA
... of the data ...all the original vari- ables, ...in the recent years, for instance, based on rotation techniques or ob- taining components with zero ...restrict the components’ loadings to be ... See full document
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Optimization of Experimental Parameters in Analysis of Pharmaceutical Pellets by Near Infrared-Chemical Imaging (NIR-CI) and Multivariate Curve Resolution with Alternating Least Squares (MCR-ALS)
... with alternating least squares is an attractive ...parameters. The use of a 25 µm intermediate pixel size, an initial estimation matrix with instrumental signals for pure substances and ... See full document
12
Diffusional Kurtosis Imaging using a fast Heuristic Constrained Linear Least Squares Algorithm: a plugin for OsiriX
... describe the diffusion ...to the diffusion process whereas, for anisotropic diffusion the 3D rep- resentative is an ...describe the diffusional kurtosis due to 𝑲 being a 4-th order ... See full document
100
A new approach to constrained total least squares image restoration
... total least squares (TLS) methods for solving blind deconvolution problems arising in image ...Here, the true image is to be estimated using only partial information about the blurring ... See full document
22
An Algorithm to Solve Separable Nonlinear Least Square Problem
... from the variable projections scheme proposed by Golub and Pereyra ...when the linear part of variables has some bounded constraints, the methods based on variable projection strategy will be ...an ... See full document
3
A brief look at the least-squares approach as a classifier applied to restricted-vocabulary speech recognition
... of the algorithm used to recognize the words, which require previous digitalization by a computer or a digital signal processing (DSP) hardware, there is always an n-dimensional vector, stored in ... See full document
5
Recursive N-way partial least squares for brain-computer interface.
... Partial Least Squares modeling is particularly suited ...Partial Least Squares [18] allows online identification of Partial Least Squares ...to the case of tensor ... See full document
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A new least-squares approach to differintegration modeling
... In the last few years, a lot of attempts to obtain such models have been done (see ...choose the most suitable orders. In impulse response modeling the well-known Pade´ algorithm is frequently ... See full document
10
Recursive Least Squares using sequential Givens rotations
... Here, the tests and the analysis from the algorithm developed to compute direct solar radiation pressure are ...On the analysis of direct solar radiation pressure is already included ... See full document
8
Electricity load demand forecasting in Portugal using least-squares support vector machines
... selecting the structure to use including the inputs, number of neurons and all the parameters (weights, centres and widths) of the network in a way to maximize ...performance. The ... See full document
63
TOWARDS A GENERIC METHOD FOR BUILDING-PARCEL VECTOR DATA ADJUSTMENT BY LEAST SQUARES
... by the same positional error. Thus, the idea underlying a least squares estimation of correction parame- ters is that we can draw information from patent inconsistencies to propagate them on ... See full document
8
Multivariate curve resolution with alternating least squares: description, operation and aplications.
... WITH ALTERNATING LEAST SQUARES: DESCRIPTION, OPERATION AND ...with Alternating Least Squares (MCR-ALS) is a resolution method that has been efficiently applied in many different ... See full document
8
A scalable recommender system : using latent topics and alternating least squares techniques
... Shiau T.S., Cheng C.H and Tsai M. S. (2007) Application of Singular Value Decomposition Technique to System Identification by Doping an Optimum Signal 中國機械工程學刊 第二十八卷第六期第605~616頁(民國九十六年) Journal of the Chinese ... See full document
79
Tensor , alternating least squares and other tales
... in the complex field, whose properties have been studied in depth [5] [2] [20] [14] (see also Section ...in the real field. However, the geometry of 2-dimensional 3rd order asymmetric tensors is ... See full document
31
Partial least squares for face hashing
... much the results is the product of votes instead of the sum, which is akin to the intersection of subsets among all hash ...in the results and they require twice the space ... See full document
100
The optimal number of partial least squares components in genomic selection for pork pH
... calculate the trace of the derivative in (2), it is necessary to use an algorithm based on the orthogonal decomposition of X, which is unique for fixed y and m (KRAMER & SUGIYAMA, ... See full document
5
Alternative smoothing strategies in smooth partial least squares path modelling
... in the context of Partial Least Squares Path Modelling (PLS-PM) has received a growing interest in recent ...been the work of Henseler, Fassot, Dijkstra and Wilson (2012) on the ... See full document
42
Linear-in-the-parameters oblique least squares (LOLS) provides more accurate estimates of density-dependent survival
... . The MLE with these three V classes weighted by the inverse of their variance pro- vided a line-fit that was only slightly ...upon the class of model I regressions, characterized by a minimization ... See full document
13
A test for multigroup comparison using partial least squares path modeling
... in the context of PLS-PM ...in the case of unobserved heterogeneity based on genetic algorithm segmentation (Ringle et ...However, the existing approaches have serious ...compare the ... See full document
14
Context-Specific Metabolic Model Extraction Based on Regularized Least Squares Optimization.
... among the different contexts, while with increasing CV, these subsystems tend to be more specific for certain ...in the ranking, which is expected due to the fundamental role that these subsystems ... See full document
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