Penyakit Ginjal Kronis (PGK) ialah disfungsi ginjal liberal dan ireversibel di mana keahlian tubuh untuk men-dukung badan mempertahankan metabolisme keseimbangan elektrolit tersendat. kronis akan ber-tambah sebagai gagal terminal maupun tingkatan akhir penyakit dimana tidak sanggup bertugas lagi melindungi materi ke dalam badan, membutuhkan pemulihan langkah- langkah lebih lanjut dari dialisis ...

Cooperative networking plays an important role in wireless adhoc and sensor networks, in which the information from the source to the destination is relayed by intermediate nodes. In this paper, we propose OFDM-based all subcarrier and per subcarrier basis relay selection schemes. The relay selection is based on average signal to noise ratio (SNR) estimation. Data aided (DA) preamble based MMSE...

Table A2 shows the results of the Nijman-Verbeek test for sample selection in panel models. This test examines the possibility of selection bias in unbalanced panel data. We construct two indicator variables. First, the lagged selection indicator “inlastyr” indicates that a firm present in year t of the sample period is also present in year t – 1. Second, the forward selection indicator “innext...

Recent developments in statistical modeling of various linguistic phenomena have shown that additional features give consistent performance improvements. Quite often, improvements are limited by the number of features a system is able to explore. This paper describes a novel progressive training algorithm that selects features from virtually unlimited feature spaces for conditional maximum entr...

A fast forward feature selection algorithm is presented in this paper. It is based on a Gaussian mixture model (GMM) classifier. GMM are used for classifying hyperspectral images. The algorithm selects iteratively spectral features that maximizes an estimation of the classification rate. The estimation is done using the k-fold cross validation. In order to perform fast in terms of computing tim...

In this paper we introduce two procedures for variable selection in cluster analysis and classification rules. One is mainly oriented to detect the “noisy” non–informative variables, while the other deals also with multicolinearity. A forward–backward algorithm is also proposed to make feasible these procedures in large data sets. A small simulation is performed and some real data examples are ...

Objective: The purpose of this study is to investigate and compare the effects different dimension reduction methods (PCA, ICA, PCA + Forward Selection, ICA Selection) on K-NN classifier using open access gene expression data small round blue cell tumor types.Methods: In study, types was used for methods. PCA, Selection were as together with classification method.Results: Accuracy values obtain...

Forward-backward pursuit (FBP) algorithm is a novel two-stage greedy approach. However once its forward and backward steps were determined during iteration, it would make computing time increased and affected the reconstruction efficiency. This paper presents a algorithm called forward-backward pursuit algorithm based on weak selection (SWFBP) by introducing threshold strategy into FBP algorith...