Conformal prediction for reliable machine learning : theory, adaptations, and applications / / Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk

• Record Nr.: UNISA996459352603316
• Autore: BALASUBRAMANIAN, Vineeth
• Pubbl/distr/stampa: Waltham, : Morgan Kaufmann, 2014
• Descrizione fisica: Testo elettronico (PDF) (298 p.)
• Disciplina: 006.31
• Soggetti: Apprendimento automatico
• Lingua di pubblicazione: Inglese
• Formato: Risorsa elettronica
• Livello bibliografico: Monografia
• Sommario/riassunto: Il framework delle previsioni conformi è un recente sviluppo dell'apprendimento automatico in grado di associare una misura affidabile di fiducia a una previsione in qualsiasi applicazione di riconoscimento dei modelli del mondo reale, comprese le applicazioni sensibili al rischio come la diagnosi medica, il riconoscimento facciale e la previsione del rischio finanziario. Previsioni conformi per l'apprendimento automatico affidabile: teoria, adattamenti e applicazioni acquisisce la teoria di base del framework, mostra come applicarla a problemi del mondo reale e presenta diversi adattamenti, tra cui apprendimento attivo, rilevamento dei cambiamenti e anomalie

Ogallala : water for a dry land / / John Opie, Char Miller, and Kenna Lang Archer

• Record Nr.: UNINA9910796844003321
• Autore: Opie John <1934->
• Pubbl/distr/stampa: Lincoln : , : University of Nebraska Press, , [2018]; Baltimore, Md. : , : Project MUSE, , 2018; ©[2018]
• ISBN: 1-4962-0726-2; 1-4962-0728-9
• Edizione: [Third edition.]
• Descrizione fisica: 1 online resource
• Collana: Our sustainable future
• Disciplina: 333.91/3
• Soggetti: Agricultural ecology - High Plains (U.S.) - History; Agriculture - High Plains (U.S.) - History; Irrigation - High Plains (U.S.) - History; Irrigation water - High Plains (U.S.) - History; Ogallala Aquifer History
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Preface to the Third Edition -- A Note on Editorial Method -- Introduction: Learning to Think about the Ogallala -- The First Half-Billion Years -- Finding the Water: Boom and Bust, 1870-1940 -- From Dryland to Dustbowl: Not a Good Place to Farm -- Windmills, Center Pivots, Feedlots, and Porkers -- A Tale of Seven Water Conservation Districts -- Making Irrigation Work for a Family Farm: Phil and Linda Tooms on the Moscow Road -- The Future of Plains Irrigation: A New Gospel of Efficiency -- Thinking the Unthinkable: Climate Change Hits the Vulnerable Plains -- A Final Look.
• Sommario/riassunto: "The Ogallala aquifer, a vast underground water reserve extending from South Dakota through Texas, is the product of eons of accumulated glacial melts, ancient Rocky Mountain snowmelts, and rainfall, all percolating slowly through gravel beds hundreds of feet thick. Ogallala: Water for a Dry Land is an environmental history and historical geography that tells the story of human defiance and human commitment within the Ogallala region. It describes the Great Plains’ ; natural resources, the history of settlement and dryland farming, and the remarkable irrigation technologies that have industrialized farming in the region. This newly updated third edition discusses three main issues: long-term drought and its implications, the efforts of several key groundwater management districts to regulate the aquifer, and T. Boone Pickens’s failed effort to capture water from the aquifer to supply major Texas urban areas. This edition also describes the fierce independence of Texas ranchers and farmers who reject any governmental or bureaucratic intervention in their use of water, and it updates information about the impact of climate change on the aquifer and agriculture."