Domestic politics, international bargaining and China's territorial disputes / / Chien-peng Chung

• Record Nr.: UNINA9910964187403321
• Autore: Chung Chien-Peng
• Pubbl/distr/stampa: London ; ; New York, : RoutledgeCurzon, 2004
• ISBN: 1-134-31685-2; 0-429-23116-4; 1-134-31686-0; 1-280-07885-5; 0-203-41389-X
• Descrizione fisica: 1 online resource (235 p.)
• Collana: Politics in Asia series
• Disciplina: 327.51/009/045
• Soggetti: China History 1949-; China Boundaries; China Foreign relations 1949-; China Politics and government 1949-
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "Simultaneously published in the USA and Canada by RoutledgeCurzon."
• Nota di bibliografia: Includes bibliographical references (p. [175]-211) and index.
• Nota di contenuto: Cover; Domestic Politics, International Bargaining and China's Territorial Disputes; Title Page; Copyright Page; Table of Contents; List of illustrations; Acknowledgments; 1 Introduction; Importance of topic; Territorial sovereignty disputes and two-level games; Contribution to the field; 2 The two-level game hypothesis; Toward a theory of negotiation and ratification; The importance of win-sets and their determinants; 3 The Diaoyu/Tiaoyutai/Senkaku Islands dispute; Introduction; Sovereignty and resource claims over the Diaoyu/Tiaoyutai/Senkaku Islands; The first incident: petroleum discoveries and the Okinawa reversion (1970-1972)The second incident: the Sino-Japanese Peace and Friendship Treaty of 1978; The third incident: of torches and lighthouses (1990); The fourth incident: the Kita-Kojima lighthouse (1996); Subsequent incidents, findings and conclusions; 4 The Zhenbao/Chenpao/Damansky Islands dispute; Introduction; The ; geography of Damansky/Zhenbao Island; The historical background of the Damansky/Zhenbao Island dispute; Prelude to the Sino-Soviet border conflict: 8 March 1963-1 March 1969; The Sino-Soviet border conflict: 2 March 1969-21 March 1969""Chicken"" diplomacy in the aftermath of the conflict: 29 March 1969-10 September 1969; Resumption of border negotiations: 11 September 1969-14 December 1969; Border negotiations stalled: 1970-1986; The Sino-Soviet boundary dispute 1962-1986: a look back; Border negotiations in the Sino-Soviet rapprochement: 28 July 1986-16 May 1991; Ratification and demarcation: persistence amidst adversity; Findings and conclusions; 5 The McMahon Line/Aksai Chin dispute; Introduction; Sino-Indian relations before March 1959; The breakdown of boundary negotiations and the prelude to war: March 1959-November 1962The Sino-Indian War and after; Normalization and Sino-Indian dialogue: 1976-1987; Confidence building and Sino-Indian relations since 1988: rapprochement or rivalry?; Findings and conclusions; 6 Beyond two-level games? The role of subnational, national and transnational actors in the South China Sea islands dispute; Introduction; A brief history of territorial claims; Petroleum prospecting and the involvement of multinational oil companies; Track II; Chinese bureaucratic tangle in the South China Sea disputeMischief Reef and after: strategic interaction between China and ASEAN and within ASEAN; Scarborough Shoal: subnational actors at play; Fishing in troubled waters; Possible future developments; 7 Testing the propositions of the two-level game hypothesis; Two-level game analysis and China's territorial sovereignty disputes: strengths and limitations; 8 Conclusion: the ""moral"" and ""realist"" bases of the Chinese approach to territorial sovereignty disputes; The changing perception and self-perception of China's role and identity; A quest for socialist internationalism
• Sommario/riassunto: Annotation

Artificial Neural Networks and Machine Learning – ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part X / / edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko

• Record Nr.: UNINA9910887893203321
• Autore: Wand Michael
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
• ISBN: 3-031-72359-7
• Edizione: [1st ed. 2024.]
• Descrizione fisica: 1 online resource (469 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 15025
• Altri autori (Persone): MalinovskáKristína; SchmidhuberJürgen; TetkoIgor V
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Computers; Application software; Computer networks; Artificial Intelligence; Computing Milieux; Computer and Information Systems Applications; Computer Communication Networks
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- Workshop: AI in Drug Discovery. -- Combinatorial Library Neural Network (CoLiNN) for Combinatorial Library Visualization without Compound Enumeration. -- De novo Drug Design – Do We Really Want To Be “Original”? -- Elucidation of Molecular Substructures from Nuclear Magnetic Resonance Spectra using Gradient Boosting. -- Neural SHAKE: Geometric Constraints in Graph Generative Models. -- Scaffold Splits Overestimate Virtual Screening Performance. -- Target-Aware Drug Activity Model: A deep learning approach to virtual HTS. -- Workshop: Reservoir Computing. -- Effects of Input Structure and Topology on Input-Driven Functional Connectivity Stability. -- Non-dissipative Reservoir Computing approaches for time-series ; classification. -- Onion Echo State Networks A Preliminary Analysis of Dynamics. -- Oscillation-driven Reservoir Computing for Long-Term Replication of Chaotic Time Series. -- Prediction of reaching movements with target information towards trans-humeral prosthesis control using Reservoir Computing and LSTMs. -- Reducing Reservoir Dimensionality with Phase Space Construction for Simplified Hardware Implementation. -- Restricted Reservoirs on Heterogeneous Timescales. -- Special Session: Accuracy, Stability, and Robustness in Deep Neural Networks. -- Clean-image Backdoor Attacks. -- MADE: A Universal Fine-tuning Framework to Enhance Robustness of Machine Reading Comprehension. -- Robustness of biologically grounded neural networks against image perturbations. -- Some Comparisons of Linear and Deep ReLU Network Approximation. -- Unlearnable Examples Detection via Iterative Filtering. -- Special Session: Neurorobotics. -- Action recognition system integrating motion and object detection. -- Active Vision for Physical Robots using the Free Energy Principle. -- Learning Low-Level Causal Relations using a Simulated Robotic Arm. -- Modular Reinforcement Learning In Long-Horizon Manipulation Tasks. -- Robotic Model of the Mirror Neuron System: a Revival. -- Self-organized attractoring in locomoting animals and robots: an emerging field. -- Special Session: Spiking Neural Networks. -- A Multi-modal Spiking Meta-learner With Brain-inspired Task-aware Modulation Scheme. -- Event-Based Hand Detection on Neuromorphic Hardware Using a Sigma Delta Neural Network. -- Learning in Recurrent Spiking Neural Networks with Sparse full-FORCE Training. -- Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices. -- Obtaining Optimal Spiking Neural Network in Sequence Learning via CRNN-SNN Conversion. -- On Reducing Activity with Distillation and Regularization for Energy Ecient Spiking Neural Networks. -- Temporal Contrastive Learning for Spiking Neural Networks.
• Sommario/riassunto: The ten-volume set LNCS 15016-15025 constitutes the refereed proceedings of the 33rd International Conference on Artificial Neural Networks and Machine Learning, ICANN 2024, held in Lugano, Switzerland, during September 17–20, 2024. The 294 full papers and 16 short papers included in these proceedings were carefully reviewed and selected from 764 submissions. The papers cover the following topics: Part I - theory of neural networks and machine learning; novel methods in machine learning; novel neural architectures; neural architecture search; self-organization; neural processes; novel architectures for computer vision; and fairness in machine learning. Part II - computer vision: classification; computer vision: object detection; computer vision: security and adversarial attacks; computer vision: image enhancement; and computer vision: 3D methods. Part III - computer vision: anomaly detection; computer vision: segmentation; computer vision: pose estimation and tracking; computer vision: video processing; computer vision: generative methods; and topics in computer vision. Part IV - brain-inspired computing; cognitive and computational neuroscience; explainable artificial intelligence; robotics; and reinforcement learning. Part V - graph neural networks; and large language models. Part VI - multimodality; federated learning; and time series processing. Part VII - speech processing; natural language processing; and language modeling. Part VIII - biosignal processing in medicine and physiology; and medical image processing. Part IX - human-computer interfaces; recommender systems; environment and climate; city planning; machine learning in engineering and industry; applications in finance; artificial intelligence in education; social ; network analysis; artificial intelligence and music; and software security. Part X - workshop: AI in drug discovery; workshop: reservoir computing; special session: accuracy, stability, and robustness in deep neural networks; special session: neurorobotics; and special session: spiking neural networks.