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Constrained Markov Sequence Generation

Pachet, François / Papadopoulos, Alexandre / Roy, Pierre
Constrained Markov Sequence Generation
This book deals with the problem of generating sequences in the style of a given corpus, in text or music. In particular, the authors study Markov models, which have long been used for capturing basic statistical information about how elements of a given alphabet are put together in representative sequences, formulating them as constraint satisfaction problems (CSPs), a formulation which opens the door to many extensions of basic Markov models...

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