The use of the cloud by governments throughout world is being aggressively investigated to increase efficiency and reduce costs. majority computing risk management programs prioritize addressing security issues that government organizations may face when they choose adopt systems, but these lack evidence risks, problems with using in developing nations are uncommon, so called for more research ...

Games online yakni hal yang sudah menempel di masyarakat saat ini. Dalam beberapa tahun terakhir, ekspansi internet dan perangkat cepat telah mempercepat munculnya games online. Motivasi utama pemain untuk terus bermain adalah ketersediaan kemampuan multi-pengguna dapat diakses mana saja. Seiring perkembangan teknologi ini banyak platform penjualan seperti Steam, Epic Store, Origin sebagainya, ...

We participated in the triage task of biomedical documents in the TREC genomic track. In this paper we describe the methods we developed for the four triagesubtasks. Logistic regression and support vector machine algorithms were first trained to generate ranked lists of test documents. Then a subset of the test documents was identified as positive instances by selecting the top-k documents of t...

The prevention of dangerous chemical accidents is a primary problem of industrial manufacturing. In the accidents of dangerous chemicals, the oil gas explosion plays an important role. The essential task of the explosion prevention is to estimate the better explosion limit of a given oil gas. In this paper, Support Vector Machines (SVM) and Logistic Regression (LR) are used to predict the explo...

One of the main challenges in emotion recognition from speech is to discriminate emotions in the valence domain (positive versus negative). While acoustic features provide good characterization in the activation/arousal dimension (excited versus calm), they usually fail to discriminate between sentences with different valence attributes (e.g., happy versus anger). This paper focuses on this dim...

This paper proposes a model for learning soft-monotonic regression functions in the presence of imperfect domain knowledge. It proposes an extension to support vector regression (SVR) wherein a new hardness parameter is introduced to configure the degree of monotonicity. The model supports multiple monotonicity constraints over multiple input dimensions simultaneously. The proposed model has be...

support vector regression (svr) is a learning method based on the support vector machine (svm) that can be used for curve fitting and function estimation. in this paper, the ability of the nu-svr to predict the catalytic activity of the fischer-tropsch (ft) reaction is evaluated and the result is compared with two other prediction techniques including: multilayer perceptron (mlp) and subtractiv...