1 - 6 of 6 articles
As the internet grows rapidly, millions of web pages are being added on a daily basis. The extraction of precise information is becoming more and more difficult as the volume of data on the internet increases. Several search engines and information fetching tools are available on the internet,...
This paper presents a framework for automatically learning rules of a simple game of cards using data from a vision system observing the game being played. Incremental learning of object and protocol models from video, for use by an artificial cognitive agent, is presented. iLearn—a novel...
In this paper a new clustering algorithm is presented: A complex-based Fuzzy c-means (CFCM) algorithm. While the Fuzzy c-means uses a real vector as a prototype characterizing a cluster, the CFCM’s prototype is generalized to be a complex vector (complex center). CFCM uses a new real distance...
Granular support vector machine (GSVM) is a new learning model based on Granular Computing and Statistical Learning Theory. Compared with the traditional SVM, GSVM improves the generalization ability and learning efficiency to a large extent. This paper mainly reviews the research progress of...
An intelligent robotic system must be capable of making the best decision at any given moment. The criteria for which task is “best” can be derived by performance metrics as well as the ability for it to satisfy all constraints upon the robot and its mission. Constraints may exist based on...
This paper presents a small sample of evidences of the direct and clear influence of the Darwin’s Theory of Evolution on the Computer Science field, putting the core seed of the well-known Evolutionary Computation and making Computer Science overcome some previous algorithmic limitations. The...
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