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.
In this paper we demonstrate the effectiveness of employing basic sentiment components for analyzing the chief sentiment of Chinese sentence among nine categories of sentiments (including “No emotion”). Compared to traditional lexicon based methods, our research explores emotion intensities of words and phrases in an eight dimensional sentiment space as features. An emotion matrix kernel is designed...
In this paper, we propose a compound pyramid model to predict protein secondary structure, where homology analysis and an improved support vector machine (SVM) technology are used for predicting protein secondary structure. The homology analysis is based on BP network model which uses pair-wise sequence alignment, and SVM classification considers the physical and chemical properties of amino acids...
Support Vector Machine (SVM) is applied to the modern educational measurement's diagnostic classification of 0,1 scoring test, and then comparisons of the classification results with some of the typical cognitive diagnostic classification are made. The results show that using SVM to cognitive diagnostic classification, which only needs a small sample for training, can ensure a high correct classification...
A method for the segmentation of synthetic aperture radar (SAR) image is presented in this paper. The method integrates the use of multi-scale technology, mixed-model information and support vector machines (SVM). First, the multi-scale autoregressive (MAR) model is modeled for multi-scale sequence of SAR image, and a multi-scale features, which is used as input of SVM, are extracted via the MAR model...
Cerebral palsy (CP) is generally considered as a nonprogressive neuro-developmental condition that occurs in early childhood and is associated with a motor impairment, usually affecting mobility and posture. Automatic accurate identification of cerebral palsy gait has many potential applications, for example, assistance in diagnosis, clinical decisionmaking and communication among the clinical professionals...
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.