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The GOVERNANCE OF CLIMATE RELATIONS BETWEEN EUROPE AND ASIA - Evidence from China and Vietnam as Key Emerging Economies... The GOVERNANCE OF CLIMATE RELATIONS BETWEEN EUROPE AND ASIA - Evidence from China and Vietnam as Key Emerging Economies (Hardcover)
Hans Bruyninckx, Qi Ye, Nguyen Quang Thuan, David Belis
R3,880 Discovery Miles 38 800 Ships in 12 - 17 working days

The Governance of Climate Relations between Europe and Asia offers a thorough empirical study of the most fundamental dynamics involved in EU climate relations with China and Vietnam in the context of global climate governance.This book presents a study of the most important governance processes in current EU-Asia climate relations. It focuses on in-depth empirical case studies, offering a comprehensive relational perspective. Contributions on China cover the most essential issues, interests and actors, while the inquiry of EU-Vietnam relations mainly focuses on the Clean Development Mechanism as the main channel of bilateral climate action. This landmark study will appeal to both policymakers and practitioners faced with the extraordinary task of managing the increasingly complex and multilevel interactions of current EU-Asia climate relations as well as global carbon market watchers and professionals dealing with emissions trading in the European Union, China and Vietnam. It will also be of interest to scholars and postgraduate students of international relations, Chinese and EU foreign policy, global environmental and climate governance and international law. Contributors: K. Bachus, D. Belis, H. Bruyninckx, V.H. Bui, J. Cao, P.-f. Chang, M.D. Dang, L. De Smet, J. Delbeke, T.N.B. Dinh, A.H. Nguyen, B.T. Nguyen, Q.T. Nguyen, Y. Qi, S. Schunz, T.T.H. Tran, S. Van Eynde

Generalized Mercer Kernels and Reproducing Kernel Banach Spaces (Paperback): Yuesheng Xu, Qi Ye Generalized Mercer Kernels and Reproducing Kernel Banach Spaces (Paperback)
Yuesheng Xu, Qi Ye
R2,367 R2,054 Discovery Miles 20 540 Save R313 (13%) Ships in 12 - 17 working days

This article studies constructions of reproducing kernel Banach spaces (RKBSs) which may be viewed as a generalization of reproducing kernel Hilbert spaces (RKHSs). A key point is to endow Banach spaces with reproducing kernels such that machine learning in RKBSs can be well-posed and of easy implementation. First the authors verify many advanced properties of the general RKBSs such as density, continuity, separability, implicit representation, imbedding, compactness, representer theorem for learning methods, oracle inequality, and universal approximation. Then, they develop a new concept of generalized Mercer kernels to construct $p$-norm RKBSs for $1\leq p\leq\infty$.

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