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1. |
Record Nr. |
UNISA996391352803316 |
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Autore |
Galen |
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Titolo |
Klaudiou Galenou Pergamenou ton sozomenon tina. = Claudii Galeni Pergameni Opuscula varia [[electronic resource] ] : A viro clarissimo, D. Theodoro Goulstono, Medicinæ Doctore, e celeberrimo medicorum Londinensium (dum vixit) Collegio, Græca recensita, mendisque (quibus ...) quàm plurimis repurgata, & in linguam Latinam clarius puriisque quàm ... traducta. Quorum Titulos ... proxima indicabit. Accessere ab eodaem variæ lectiones, et annotationes criticæ |
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Pubbl/distr/stampa |
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Londini, : Typis Richardi Badger, serenissimi principis Walliæ typographi : sumptibus Ph. Stephani, & Ch. Meredith, sub Aureo Leone in Cæmeterio Paulino, MDCXL [1640] |
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Descrizione fisica |
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Altri autori (Persone) |
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GoulstonTheodore <ca. 1575-1632.> |
GatakerThomas <1574-1654.> |
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Soggetti |
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Medicine, Greek and Roman |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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First 6 words in title are in Greek characters. |
Text is in Greek and Latin in parallel columns. |
Editor's dedication signed: Tho. Gatakerus. |
Imperfect; some pages, including title page, are stained and partially illegible. |
Reproduction of the original in the British Library. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910830700803321 |
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Autore |
Albalate Amparo |
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Titolo |
Semi-supervised and unsupervised machine learning : novel strategies / / Amparo Albalate, Wolfgang Minker |
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Pubbl/distr/stampa |
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ISBN |
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1-118-55769-7 |
1-299-13991-4 |
1-118-58633-6 |
1-118-58613-1 |
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Descrizione fisica |
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1 online resource (320 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Data mining |
Discourse analysis - Statistical methods |
Speech processing systems |
Computational intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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pt. 1. State of the art -- pt. 2. Approaches to semi-supervised classification -- pt. 3. Contributions to unsupervised classification, algorithms to detect the optimal number of clusters. |
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Sommario/riassunto |
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This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention to text mining. Discovering the underlying structure on a data set has been a key research topic associated to unsupervised techniques with multiple applications and challenges, from web-content mining to the inference of cancer subtypes in genomic mic |
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