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Self-organizing neural networks are usually focused on prototype learning, while the topology is held fixed during the learning process. Here a method to adapt the topology of the network so that it reflects the internal structure of the input distribution is proposed. This leads to a self-organizing graph, where each unit is a mixture component of a mixture of Gaussians (MoG). The corresponding update...
The use of learning algorithms for text classification assumes the availability of a large amount of documents which have been organized and labeled correctly by human experts for use in the training phase. Unless the text documents in question have been in existence for some time, using an expert system is inevitable because manual organizing and labeling of thousands of groups of text documents...
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.