Wednesday, May 4, 2005, 1:30 pm — Small Seminar Room, Bldg. 510
We use a neural networks setting to study the dynamics of learning processes which must deal with incomplete or unspecific information about what is to be learned. We observe very non-trivial features, supported by an interesting dynamics, which may be of a universal
character and therefore also provide hints for more complex
learning problems.
Hosted by: Tadas Krupovnickas
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