[PDF] Top 20 River flow time series using least squares support vector machines
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River flow time series using least squares support vector machines
... modeled using these simple ap- proaches especially when a high level of accuracy is ...integrated river level forecasting ...for river flow ...for time series forecasting ... See full document
18
Electricity load demand forecasting in Portugal using least-squares support vector machines
... at least as good as those of RBF ANN, and also the ability to overcome the difficulties founded by RBF ANN in on-line ...prediction. Least-Squares Support Vector Machines ... See full document
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A hybrid least squares support vector machines and GMDH approach for river flow forecasting
... One sub-model of ANN is a group method of data handling (GMDH) algorithm was first developed by Ivakhnenko (1971) as a multivariate analysis method for modeling and identification of complex systems. The main idea of ... See full document
41
A new least-squares approach to differintegration modeling
... call pseudo-fractional ARMA models [3]. In the last few years, a lot of attempts to obtain such models have been done (see [4–9]). However, it remains to clarify two important questions: (a) how to perform such modeling ... See full document
10
Tensor , alternating least squares and other tales
... CP-degeneracies occur when one attempts to approximate a tensor by another of lower rank, causing two or more factors to tend to infinity, and at the same time to almost cancel each other, giving birth to a tensor ... See full document
31
A comparison of four data selection methods for artificial neural networks and support vector machines
... and Support Vector Machines (SVMs) will take place, the main objective of this paper is to analyse the performance of four data selection methods, including Random Data Selection (RDS), Convex Hull ... See full document
6
mizuRoute version 1: a river network routing tool for a continental domain water resources applications
... developed. River physical parameters are difficult to obtain in a consistent way at the continental scale, but recent developments of the retrieval al- gorithms for river physical properties (channel width, ... See full document
16
J. Microw. Optoelectron. Electromagn. Appl. vol.10 número1
... Abstract— This paper presents a performance comparison between known propagation Models through least squares tuning algorithm for 5.8 GHz frequency band. The studied environment is based on the 12 cities ... See full document
8
USP – São Carlos Fevereiro de 2016
... log´ıstica, support vector machine, neural network, redes bayesianas, ´ arvores de decis˜ao e k-nearest neighbors e concluiram que v´ arias t´ecnicas de classifica¸c˜ao possuem uma performance que s˜ao ... See full document
127
Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy
... varied from mol fraction 0.12 to 0.88 of L-Trp. The mol fractions of L-Trp in these samples are listed in Table I. In the prepared samples, BSA formed two different guest–host complexes with the enantiomers of Trp. The ... See full document
10
Deformation analysis with Total Least Squares
... classical least squares and this ignorance remains as an uncertainty in the solution ...(EIV). Using TLS, coordinates of points in two coordinate systems are considered with their error component ... See full document
7
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
... We would like to thank the symposium presenters and participants who made this special issue possible. Special thanks go to the editors of BMC Bioinformatics who advised us in preparing the manuscripts. Finally we ... See full document
2
Classificação automática de páginas Web Multi-label via MDL e Support Vector Machines
... Support Vector Machine é uma técnica de aprendizagem de máquina utilizada para clas- sificação e reconhecimento de padrões e regressão de dados. Sua formulação inicial foi descrita pela primeira vez por ... See full document
124
The impact of near-surface soil moisture assimilation at subseasonal, seasonal, and inter-annual time scales
... time scale. This is a much more targeted evaluation of soil moisture dynamics at the specific time scales that can then be linked to physical processes than is usually under- taken. Standard evaluation ... See full document
34
Partial least squares regression in the social sciences
... validated using another subset of the data (training ...implemented using the CV=TESTSET( dataset ) option to specify the dataset containing the test ... See full document
11
Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots
... problem using a heuristic branch-and-bound approach coupled with a discrete event simulation ...idle time of the machines and the vehicles, and the waiting time of ...by using ... See full document
22
ORDINARY LEAST SQUARES ESTIMATION OF A DYNAMIC GAME MODEL
... infinite time horizon, where players’ private values enter the payoff function additively and are independent across players, under the conditional independence ... See full document
14
Data mining in HIV-AIDS surveillance system
... The term “data mining” refers to a collection of techniques that provide the necessary actions to retrieve and gather knowledge from an exhaustive assem- blage of data and facts [20]. In particular, they can uncover new ... See full document
15
Applying feature transformation using Relative Frequency with Power Transformation and Lemmatization in automatic Spam Filtering
... During the experiments two classifiers were used. These are k-Nearest Neighbors and Support- vector Machines. We decided to use these two methods because of the advantages with which each one of them ... See full document
7
Diffusional Kurtosis Imaging using a fast Heuristic Constrained Linear Least Squares Algorithm: a plugin for OsiriX
... Following the computation of 𝐴 𝐷 + and 𝐴 𝐾 + , the program checks which maps were selected by the user in the graphical interface. If a map was chosen for com- putation, a new visualization window is opened by copying ... See full document
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