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Unified integration of explicit knowledge and learning by example in recurrent networks

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4 Author(s)
Frasconi, P. ; Dept. of Syst. & Inf., Firenze Univ., Italy ; Gori, M. ; Maggini, M. ; Soda, G.

Proposes a novel unified approach for integrating explicit knowledge and learning by example in recurrent networks. The explicit knowledge is represented by automaton rules, which are directly injected into the connections of a network. This can be accomplished by using a technique based on linear programming, instead of learning from random initial weights. Learning is conceived as a refinement process and is mainly responsible for uncertain information management. We present preliminary results for problems of automatic speech recognition

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Knowledge and Data Engineering, IEEE Transactions on  (Volume:7 ,  Issue: 2 )