The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Multi-output regression estimation aims at mining a vector-valued function from multi-dimensional input vector to multi-dimensional output vector. However, the output variables may be correlative. It is desirable to develop a multi-dimensional regression model taking advantage of the possible correlations. Therefore, this paper proposes a novel multi-output support vector regression model via double...
Chronic obstructive pulmonary disease (COPD) is a complex disorder classified as the 3rd cause of the death worldwide. So far, we know that this disease is progressive and can not be cured. In recent years, although some genes have been reported to be associated with COPD, the overlapped genetic associations can't be replicated. Therefore, it is difficult to synthesize and interpret these different...
Recognition of human's emotion from speech has become one of the most challenging and attractive fields of research in speech processing area. The present study aimed to detect valence of emotions, using Non-Linear Dynamic features (NLDs). NLDs are extracted from the Discrete Cosine Transform (DCT) of descriptor contours computed from Phase Space Reconstruction (PSR) of speech. These features are...
Wind power prediction has received much attention due to the development renewable energy sources using wind power. The paper presents a new approach which is a support vector regression (SVR) based local predictor (LP) with false neighbours filtered (FNF-SVRLP) to undertake short-term wind power perdition. The proposed predication method not only combines the powerful SVR with the reconstruction...
In proteomics studies, liquid chromatography coupled to mass spectrometry (LC-MS) has proven to be a powerful technology to investigate differential expression of proteins/peptides that are characterized by their peak intensities, mass-to-charge ratio (m/z), and retention time (RT). The variable complexity of peptide mixtures and occasional drifts leads to substantial variations in m/z and RT dimensions...
Slideshow is a popular way to display a digital album automatically. However, it is time consuming and boring when the album is large. Actually, while browsing an album manually, an audience may spend different length of time on different photos. Considering this, in this paper, we propose an approach to estimate the attention amount attracted by each photo and further predict its duration. Three...
For developing forestry ecological economy is a most watched problem recent years, to analyze the relative economic data and find out existing problems, will greatly help governments revise the policies and promote rapidly development of forestry ecological economy. Based on the support vector regression theory, the thesis builds the regression analysis model of our forestry ecological development,...
This paper presents experiments using several vector space models in Automated Essay Scoring (AES). Firstly, we compare four different Vector Space Models (VSM) which are the Word-based Vector Space Model (W-VSM), the Weight Adapted Word-based Vector Space Model (WAW-VSM), the Latent Semantic-based Vector Space Model (LS-VSM) and the Sequence Latent Semantic-based Vector Space Model (SLS-VSM). The...
Speech processing is an important element of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, numerical representations of emotions in a multi-dimensional space can be more appropriate to reflect the gradient nature of emotion expressions, and can be more convenient in the sense of dealing with a small set of emotion...
The benefits and limitations of crop stress detection by hyperspectral data analysis have been examined in detail. It could thereby be demonstrated that even a differentiation between healthy and fungal infected wheat stands is possible and profits by analyzing entire spectra or specifically selected spectral bands/ranges. For reasons of practicability in agriculture, spatial information about the...
Calculation of reserves in an oil reservoir and the determination of its performance and economics require good knowledge of its physical properties. Accurate determination of the pressure-volume-temperature (PVT) properties such as the bubble point pressure (Pb) and the oil formation volume factor (Bob) are important in the primary and subsequent development of an oil field. This paper proposes Support...
This paper developed a novel method to estimate the values of missing data by the use of a weighted K-nearest neighbors algorithm. A weighting scheme that exploits the correlation between a ldquomissingrdquo dimension and available data values from other fields, which is quantified based on the support vector regression method. The proposed method has been applied to a practical case of modeling steel...
In a power system covering large geographical area, a single model for overall load forecasting of the entire area sometimes can not guarantee satisfactory forecasting accuracy. One of the major reasons is due to the load diversity, usually caused by weather diversity, throughout the area. Multi-area load forecasting will be a feasible and effective solution to generate more accurate forecasting results,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.