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Around the world there are innumerable databases of information. The quantity of information available has created a high demand for automatic methods for searching these databases and extracting specific kinds of information. Unfortunately, the information in these databases increasingly contains signals that have no corresponding classification symbols. Examples include databases of images, sounds, etc. A few systems have been written to help solve these search and retrieve issues. But one cannot write a new system for every kind of signal one wants to recognize and extract. Some work has been done on automating (i.e. learning) the task of identifying desired signal elements. It would be useful to automate (learn) not just a part of the classification function, but the entire signal identification program.
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