In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
Min Shi, David S. Edwin, Rakesh Menon, Lixiang She...
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
The detection of shadow and shading edges is a first step towards reducing the imaging effects that are caused by interactions of the light source with surfaces that are in the sc...
— In the present paper, we consider the automatic text categorization as a series of information processing and propose a new classification technique called the Frequency Ratio ...
Human values can help to explain people’s sentiment toward current events. In this experiment, we compare people’s values with their agreement or disagreement with paragraphs ...
Thomas Clay Templeton, Kenneth R. Fleischmann, Jor...