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Author: Saeid Eslamian Publisher: Elsevier ISBN: 0128219505 Category : Technology & Engineering Languages : en Pages : 420
Book Description
Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. - Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.
Author: Saeid Eslamian Publisher: Elsevier ISBN: 0128219505 Category : Technology & Engineering Languages : en Pages : 420
Book Description
Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering. - Key insights from 24 contributors in the fields of data management research, climate change and resilience, insufficient data problem, etc. - Offers applied examples and case studies in each chapter, providing the reader with real world scenarios for comparison. - Defines both the designing of good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees.
Author: Margaret Simons Publisher: Black Inc. ISBN: 1743821301 Category : Political Science Languages : en Pages : 179
Book Description
The Murray–Darling Basin is the food bowl of Australia, and it’s in trouble. What does this mean for the future – for water and crops, and for the people and towns that depend on it? In Cry Me a River, acclaimed journalist Margaret Simons takes a trip through the Basin, all the way from Queensland to South Australia. She shows that its plight is environmental but also economic, and enmeshed in ideology and identity. Her essay is both a portrait of the Murray–Darling Basin and an explanation of its woes. It looks at rural Australia and the failure of politics over decades to meet the needs of communities forced to bear the heaviest burden of change. Whether it is fish kills or state rivalries, drought or climate change, in the Basin our ability to plan for the future is being put to the test. “The story of the Murray–Darling Basin ... is a story of our nation, the things that join and divide us. It asks whether our current systems – our society and its communities – can possibly meet the needs of the nation and the certainty of change. Is the Plan an honest compact, and is it fair? Can it work? Are our politics up to the task?”—Margaret Simons, Cry Me a River
Author: Cecilia Tortajada Publisher: Routledge ISBN: 1135757526 Category : Science Languages : en Pages : 189
Book Description
Asian countries are not homogenous. They are in different stages of social and economic development, with cultural conditions and institutional and legal frameworks varying from one country to another. Therefore, how water can be successfully managed differs from one country to another. The book provides authoritative analyses of how water is being managed in different Asian countries, ranging from the world’s most populous countries like China and India to a city state like Singapore and an island country like Fiji. It also analyses in depth several wide ranging issues like terrorism, human rights, water-energy nexus, and roles of media, along with comprehensive discussions of legal, institutional and regulatory frameworks in an Asian water management context. The overall focus is on how water can be managed efficiently, cost-effectively and equitably in various Asian countries. This book was based on a special issue of the International Journal of Water Resources Development.
Author: Fabian Lorig Publisher: Springer ISBN: 365827588X Category : Computers Languages : en Pages : 407
Book Description
Fabian Lorig develops a procedure model for hypothesis-driven simulation studies which supports the design, conducting, and analysis of simulation experiments. It is aimed at facilitating the execution of simulation studies with regard to the replicability and reproducibility of the results. In comparison to existing models, this approach is based on a formally specified hypothesis. Each step of the simulation study can be adapted to the central hypothesis and performed in such a way that it can optimally contribute to the verification and thus to the confirmation or rejection of the hypothesis.
Author: Hady W. Lauw Publisher: Springer Nature ISBN: 3030474364 Category : Computers Languages : en Pages : 936
Book Description
The two-volume set LNAI 12084 and 12085 constitutes the thoroughly refereed proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, which was due to be held in Singapore, in May 2020. The conference was held virtually due to the COVID-19 pandemic. The 135 full papers presented were carefully reviewed and selected from 628 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artificial intelligence, databases, statistics, knowledge engineering, visualization, decision-making systems, and the emerging applications. They are organized in the following topical sections: recommender systems; classification; clustering; mining social networks; representation learning and embedding; mining behavioral data; deep learning; feature extraction and selection; human, domain, organizational and social factors in data mining; mining sequential data; mining imbalanced data; association; privacy and security; supervised learning; novel algorithms; mining multi-media/multi-dimensional data; application; mining graph and network data; anomaly detection and analytics; mining spatial, temporal, unstructured and semi-structured data; sentiment analysis; statistical/graphical model; multi-source/distributed/parallel/cloud computing.
Author: Chris Zevenbergen Publisher: MDPI ISBN: 303897272X Category : Science Languages : en Pages : 463
Book Description
This book is a printed edition of the Special Issue "Sponge Cities: Emerging Approaches, Challenges and Opportunities" that was published in Water
Author: R. Naidu Publisher: Springer Science & Business Media ISBN: 9400916264 Category : Nature Languages : en Pages : 722
Book Description
The Australasia-Pacific Region supports approximately 50% of the world's population. The last half-century has witnessed a rapid increase in the regional population, agricultural productivity, industrial activities and trade within the region. Both the demand for increased food production and the desire to improve the economic conditions have affected regional environmental quality. This volume presents an overview of the fate of contaminants in the soil environment; current soil management factors used to control contaminant impacts, issues related to sludge and effluent disposals in the soil environment; legal, health and social impacts of contaminated land, remediation approaches and strategies to manage contaminated land, some of the problems associated with environmental degradation in the Australasia-Pacific Region and steps that we need to take to safeguard our environment.
Author: Saeid Eslamian
Author: Saeid Eslamian
Author: Margaret Simons
Author: Cecilia Tortajada
Author: Fabian Lorig
Author: Hady W. Lauw
Author: 国立国会図書館 (Japan)
Author: Chris Zevenbergen
Author: R. Naidu
Author: Geological Survey (U.S.)
Author: