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[null,"1.","Record Nr.",null,"UNINA9910220021003321"]
[null,null,"Titolo",null,"Use of meta-heuristic techniques in rainfall-runoff modelling / / special issue editor Kwok-wing Chau"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : MDPI AG, 2017"]
[null,null,"ISBN",null,"9783038423270 (ebook)"]
[{"$nulls":4},"9783038423263 (pbk.)"]
[null,null,"Descrizione fisica",null,"1 online resource (vii, 246 p.) : ill"]
[null,null,"Disciplina",null,"551.488"]
[null,null,"Soggetti",null,"Rain and rainfall - Mathematical models"]
[{"$nulls":4},"Runoff - Mathematical models"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Special issue published in Water."]
[null,null,null,"Sommario/riassunto","Each year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runoff modeling is a growing field of endeavor in water resources management. These techniques can be used to calibrate data-driven rainfall-runoff models to improve forecasting accuracies. This book, being also a Special Issue of the journal Water, is designed to fill the analytical void by including fourteen articles concerning advances in the contemporary use of meta-heuristic techniques in rainfall-runoff modeling. The information and analyses are intended to contribute to the development and implementation of effective hydrological predictions, and thus, of appropriate precautionary measures."]
[null,"2.","Record Nr.",null,"UNINA9910557610303321"]
[null,null,"Autore",null,"Gabbay Freddy"]
[null,null,"Titolo",null,"Computational Optimizations for Machine Learning"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (276 p.)"]
[null,null,"Soggetti",null,"Mathematics & science"]
[{"$nulls":4},"Research & information: general"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","The present book contains the 10 articles finally accepted for publication in the Special Issue \"Computational Optimizations for Machine Learning\" of the MDPI journal Mathematics, which cover a wide range of topics connected to the theory and applications of machine learning, neural networks and artificial intelligence. These topics include, among others, various types of machine learning classes, such as supervised, unsupervised and reinforcement learning, deep neural networks, convolutional neural networks, GANs, decision trees, linear regression, SVM, K-means clustering, Q-learning, temporal difference, deep adversarial networks and more. It is hoped that the book will be interesting and useful to those developing mathematical algorithms and applications in the domain of artificial intelligence and machine learning as well as for those having the appropriate mathematical background and willing to become familiar with recent advances of machine learning computational optimization mathematics, which has nowadays permeated into almost all sectors of human life and activity."]
[null,"3.","Record Nr.",null,"UNINA9910959813103321"]
[null,null,"Autore",null,"Eichengreen Barry"]
[null,null,"Titolo",null,"Sudden Stops and IMF-Supported Programs / / Barry Eichengreen, Poonam Gupta, Ashoka Mody"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : International Monetary Fund, , 2006"]
[null,null,"ISBN",null,"9786613820808"]
[{"$nulls":4},"9781462307432"]
[{"$nulls":4},"1462307434"]
[{"$nulls":4},"9781452723914"]
[{"$nulls":4},"1452723915"]
[{"$nulls":4},"9781282413764"]
[{"$nulls":4},"1282413767"]
[{"$nulls":4},"9781451908954"]
[{"$nulls":4},"1451908954"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (53 p.)"]
[null,null,"Collana",null,"IMF Working Papers"]
[null,null,"Soggetti",null,"Capital movements - Econometric models"]
[{"$nulls":4},"Balance of payments"]
[{"$nulls":4},"Capital flows"]
[{"$nulls":4},"Capital movements"]
[{"$nulls":4},"Credit"]
[{"$nulls":4},"Currency"]
[{"$nulls":4},"Current Account Adjustment"]
[{"$nulls":4},"Current account"]
[{"$nulls":4},"Domestic credit"]
[{"$nulls":4},"Exchange rate arrangements"]
[{"$nulls":4},"Exports and Imports"]
[{"$nulls":4},"Foreign Exchange"]
[{"$nulls":4},"Foreign exchange"]
[{"$nulls":4},"International economics"]
[{"$nulls":4},"International Investment"]
[{"$nulls":4},"Long-term Capital Movements"]
[{"$nulls":4},"Monetary economics"]
[{"$nulls":4},"Monetary Policy, Central Banking, and the Supply of Money and Credit: General"]
[{"$nulls":4},"Money and Monetary Policy"]
[{"$nulls":4},"Short-term Capital Movements"]
[{"$nulls":4},"Sudden stops"]
[{"$nulls":4},"United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"May 2006\"."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"\"\"Contents\"\"; \"\"I. INTRODUCTION\"\"; \"\"II. SUDDEN STOPS AND MULTILATERAL INSURANCE\"\"; \"\"III. CAPITAL FLOWS AND SUDDEN STOPS\"\"; \"\"IV. IMF-SUPPORTED PROGRAMS\"\"; \"\"V. MULTIVARIATE ANALYSIS\"\"; \"\"VI. IMF-SUPPORTED PROGRAMS AND SUDDEN STOPS\"\"; \"\"VII. EXTENSIONS\"\"; \"\"VIII. CONCLUSIONS AND IMPLICATIONS\"\"; \"\"Appendix Table A1. Countries in the Sample and Sudden Stop Dates Country Year\"\"; \"\"Appendix Table A2. Determinants of Sudden Stops: Sensitivity to Sample Composition\"\"; \"\"Appendix II: Sources of Data and Construction of Variables\"\"; \"\"REFERENCES\"\""]
[null,null,null,"Sommario/riassunto","Could a high-access, quick-disbursing \"insurance facility\" in the IMF help to reduce the incidence of sharp interruptions in capital flows (\"sudden stops\")? We contribute to the debate around this question by analyzing the impact of conventional IMF-supported programs on the incidence of sudden stops. Correcting for the non-random assignment of programs, we find that sudden stops are fewer and generally less severe when an IMF arrangement exists and that this form of \"insurance\" works best for countries with strong fundamentals. In contrast there is no evidence that a Fund-supported program attenuates the output effects of capital account reversals if these nonetheless occur."]