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1. |
Record Nr. |
UNINA9910452189703321 |
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Autore |
Smith Linnea |
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Titolo |
La doctora [[electronic resource] ] : the journal of an American doctor practicing medicine on the Amazon River / / Linnea Smith |
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Pubbl/distr/stampa |
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Duluth, Minn., : Pfeifer-Hamilton Publishers, c1999 |
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ISBN |
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Descrizione fisica |
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1 online resource (266 p.) |
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Disciplina |
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Soggetti |
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Physicians - Amazon River Region |
Tropical medicine - Amazon River Region |
Indians of South America - Medical care - Amazon River Region |
Electronic books. |
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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 contenuto |
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Table of Contents; 1 ""My Wife Can't Have Her Baby!""; Leap into the Unknown; Life on the Amazon; Jungle Doctor; Clinic Expansion; More Jungle Medicine; The End of the Beginning |
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Sommario/riassunto |
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In 1990, Dr. Linnea Smith went to Peru on an ecotourism vacation. She was so moved that she abandoned her thriving medical practice in Wisconsin to serve the Yagua Indians in the deepest part of the Amazon rainforest of Peru--alone.Taken straight from the pages of Dr. Smith's journal, La Doctora offers readers a rare glimpse into the suspense and drama of practicing medicine in a culture far removed from the sophisticated supplies and supports of 20th-century medicine. Learn how Dr. Smith evolved from a "strange white woman" to an adopted member of the indigenous community. Her story of advent |
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2. |
Record Nr. |
UNINA9910462400503321 |
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Autore |
Zhou Zhi-Hua, Ph. D. |
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Titolo |
Ensemble methods : foundations and algorithms / / Zhi-Hua Zhou |
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Pubbl/distr/stampa |
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Boca Raton, Fla. : , : CRC Press, , 2012 |
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ISBN |
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0-429-15109-8 |
1-4398-3005-3 |
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Descrizione fisica |
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1 online resource (234 p.) |
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Collana |
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Chapman & Hall/CRC machine learning & pattern recognition series |
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Disciplina |
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Soggetti |
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Multiple comparisons (Statistics) |
Set theory |
Mathematical analysis |
Electronic books. |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Front Cover; Preface; Notations; Contents; 1. Introduction; 2. Boosting; 3. Bagging; 4. Combination Methods; 5. Diversity; 6. Ensemble Pruning; 7. Clustering Ensembles; 8. Advanced Topics; References |
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Sommario/riassunto |
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This comprehensive book presents an in-depth and systematic introduction to ensemble methods for researchers in machine learning, data mining, and related areas. It helps readers solve modem problems in machine learning using these methods. The author covers the spectrum of research in ensemble methods, including such famous methods as boosting, bagging, and rainforest, along with current directions and methods not sufficiently addressed in other books. Chapters explore cutting-edge topics, such as semi-supervised ensembles, cluster ensembles, and comprehensibility, as well as successful applications-- |
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