Predictive text input using a single-tap entry method is currently the standard for text entry in the mobile domain. One problem facing this approach is which word to present to the user when more than one word matches an input sequence. The standard single-tap approach selects words using corpus occurrence frequencies, ignoring linguistic context. This can lead to the selection of words that a...

In this paper a new approach to formulation of active control of structures based on energy concepts and use of Linear Quadratic Regulator (LQR) has been proposed. The suggested method eliminates the trial and error procedure in finding appropriate gain matrices in active control of structures. In this method the gain matrix is obtained by considering the energy of the structure and it remains ...

Abstract The selection of input and output items is crucial for successful application Data Envelopment Analysis (DEA) as they should express the decision maker's preferences perceptions what might affect efficiency a making unit (DMU). This article addresses question transformation data that may be required analyses using DEA method. Different methods are available in literature, however, lead...

Optimally designing the location of training input points (active learning) and choosing the best model (model selection)-which have been extensively studied-are two important components of supervised learning. However, these two issues seem to have been investigated separately as two independent problems. If training input points and models are simultaneously optimized, the generalization perf...

introduction: amajor problem in the treatment of cancer is the lack of an appropriate method for the early diagnosis of the disease. the chemical reaction within an organ may be reflected in the form of proteomic patterns in the serum, sputum, or urine. laser mass spectrometry is a valuable tool for extracting the proteomic patterns from biological samples. a major challenge in extracting such ...