[PDF] Top 20 Electricity load demand forecasting in Portugal using least-squares support vector machines
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Electricity load demand forecasting in Portugal using least-squares support vector machines
... issue in a way to facilitate the task of power grid companies in adjusting production levels to consumption ...led demand for new ways to make the prediction, promising better results, or at ... See full document
63
River flow time series using least squares support vector machines
... the least squares sup- port vector machine ...series forecasting for the LSSVM ...rivers in Selangor state of Peninsular Malaysia were taken into con- sideration in the ... See full document
18
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
Auction econometrics by least squares
... bidders in a first price auction, the regression would be misspecified, since compared with predicted behav- ior bidding would be too aggressive in auctions with few bidders and not aggressive enough ... See full document
37
Reconstructed State Space Model for Recognition of Consonant - Vowel (Cv) Utterances Using Support Vector Machines
... occur in the back propagation algorithm, the delta rule, and the perceptron ...rule. In unsupervised learning (or self-organization), a (output) unit is trained to respond to clusters of pattern within the ... See full document
19
Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy
... partial least squares (IPLS) and moving window partial least squares (MWPLS) for the enantiomeric analysis of tryp- tophan (Trp) was ...built using partial least squares ... See full document
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Forecasting the Prices of TAIEX Options by Using Genetic Programming and Support Vector Regression
... individuals in GP are themselves computer programs, instead of fixed-length strings consisting of numbers, alphabetic letters, or ...programs in GP are traditionally represented in memory as tree ... See full document
6
Partial least squares for face hashing
... by using a categorical rather than Bernoulli ...difference in the results and they require twice the space requirement since the indexes of subjects that were learned with +1 target re- sponse in the ... See full document
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A test for multigroup comparison using partial least squares path modeling
... recognized in the context of PLS-PM ...groups in the case of unobserved heterogeneity based on genetic algorithm segmentation (Ringle et ...violated in empirical ... See full document
14
Biased Support Vector Machines and Kernel Methods for Intrusion Detection
... classification using different kernel methods ...divided in to five classes: normal, probe, denial of service attacks, user to super user and remote to local ...described in section 3, and the other ... See full document
5
Improving Text Categorization By Using A Topic Model
... terms. In this paper, we apply the topic-model approach to cluster the words into a set of ...(NB), Support Vector Machines (SVM) and Decision tree, are used for ... See full document
7
100% renewable electricity supply for Portugal and Spain
... As alterações climáticas e restantes questões ambientais são temas atuais que têm exigido inúmeros estudos e investigações. O uso de fontes de energia não renovável é o principal impulsionador destes problemas, e é ... See full document
79
Partial least squares regression in the social sciences
... Partial least square regression (PLSR) is a statistical modeling technique that extracts latent factors to explain both predictor and response ...application in the social sciences has been ...dataset ... See full document
11
TIME-OF-USE ELECTRICITY TARIFFS WITH SMART METERS
... out in the framework of a MSc project (Oliveira, ...innovation in energy services); the promotion of security of supply on a European scale (through diversification of energy routes in supplying ... See full document
16
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
Deformation analysis with Total Least Squares
... collected using several ...positions. In the deformation analysis phase, the coordinate changes in the point positions are ...a Least Squares (LS) technique is used for the transforma- ... See full document
7
A Survey on Potential of the Support Vector Machines in Solving Classification and Regression Problems
... instance, in (Cao, Keerthi, Ong & all, 2006) a parallel version of SMO is proposed for fast training ...points using one CPU processor, the parallel SMO first partitions the entire training data set ... See full document
12
Modelling and forecasting tourism demand in Portugal: past, present and future
... tourists in Portugal and the cost of travel to Portugal. In terms of the former and observed in Table 3, this variable is defined as “Destination ...living in Portugal, ... See full document
10
J. Microw. Optoelectron. Electromagn. Appl. vol.10 número1
... collection in a mobile unit, this data acquisition has been carried out by taking the punctual RSSI (Received Signal Strength Indicator) in 335 fixed clients installed in 12 cities that have been ... See full document
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