Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection
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Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection is a document[1].
Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection
Summary
Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection is a document[1].
Key Facts
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection authored Antonio Galves[2].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection authored Aldana M González Montoro[3].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection authored Arnaldo Mandel[4].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's instance of is recorded as document[5].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's part of is recorded as NeuroMat[6].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's language of work or name is recorded as English[7].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's publication date is recorded as +2014-09-30T00:00:00Z[8].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's work available at URL is recorded as https://scholar.google.com/scholar?cluster=15444217231678620779&hl=en&oi=scholarr[9].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's published in is recorded as NeuroMat Institutional Repository[10].
- Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's title is recorded as {'lang': 'en', 'text': 'Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection'}[11].
Body
Authorship and Creation
Authored works include Antonio Galves[2], a physicist[12], 1947–2023[13], of Brazil[14], awarded the Great Cross of the National Order of Scientific Merit[15], specialised in statistics[16]; Aldana M González Montoro[3]; and Arnaldo Mandel[4], a researcher[17], of Brazil[18], specialised in informatics[19].
Publication
Fast implementation of the Smallest Maximizer Criterion for unbounded context tree model selection's publication date is recorded as +2014-09-30T00:00:00Z[8]. Its language of work or name is recorded as English[7]. Its part of is recorded as NeuroMat[6].