Mio: User's Manual,Lourdes Pena Castillo

Mio: User's Manual   (Citations: 1)
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Mio is an example-driven multirelational learning system which performs a top-down search in the subsumption lattice, which is lower bound by a bottom clause. This bottom clause is constructed by inverse entailment. Three search strategies are included in Mio: IDA*, beam-search and hill-climbing. In addition, Mio supports the use of macro-operators [2, 5] and is able to perform parallel search [3] and active inductive learning [4]. This manual explains how to use Mio but not the research results behind it; for information about macros, parallel search, active inductive learning and experiments performed with Mio the reader is referred to [1].
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