Liberal democracy and environmentalism : the end of environmentalism? / / edited by Marcel Wissenburg and Yoram Levy

• Record Nr.: UNINA9910451540303321
• Pubbl/distr/stampa: London ; ; New York : , : Routledge, , 2004
• ISBN: 1-138-97976-7; 1-134-35508-4; 1-280-02611-1; 0-203-29967-1
• Descrizione fisica: 1 online resource (225 p.)
• Collana: Routledge/ECPR Studies in European Political Science
• Altri autori (Persone): WissenburgM. L. J (Marcel L. J.); LevyYoram <1967->
• Disciplina: 304.2
• Soggetti: Political ecology; Democracy; Environmentalism - Political aspects; Electronic books.
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. [197]-211) and index.
• Nota di contenuto: The role of environmentalism : from the Silent Spring to the Silent Revolution / Gayil Talshir -- The faces of endism : post-ecologism and the politics of simulation / Ingolfur Blhdorn -- The end of environmentalism (as we know it) / Yoram Levy -- Little green lies : on the redundancy of 'environment' / Marcel Wissenburg -- Democracy and environmentalism : the end of deep ecology? - not quite / Mike Mills and Fraser King -- The environment versus individual freedom and convenience / Marius de Geus -- Precaution, scientization or deliberation? Prospects for greening and democratizing science / Karin Bckstrand -- The good and green society : ecology, democracy and autonomy : a problem of wishful thinking / Mathew Humphrey -- A precautionary approach / Meira Hanson -- Liberal democracy and the shaping of environmentally enlightened citizens / Graham Smith -- Perspectives and possibilities -- Sustainability and plurality : from the moderate end of the liberal equilibrium to the open end of a situated liberal neutrality / Dorothee Horstktter -- The minimum irreversible ; harm principle : green inter-generational liberalism / Michael Wallack -- From environmental politics to the politics of the environment : the pacification and normalization of environmentalism? / John Barry.
• Sommario/riassunto: In recent decades, environmental issues have increasingly been incorporated into liberal democratic thought and political practice. Environmentalism and ecologism have become fashionable, even respectable schools of political thought. This apparently successful integration of environmental movements, issues and ideas in mainstream politics raises the question of whether there is a future for what once was a counter-movement and counter-ideology. Liberal Democracy and Environmentalism provides a reflective assessment of recent developments, social relevance and future of environmental

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation [[electronic resource] ] : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part I / / edited by Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis

• Record Nr.: UNISA996466301803316
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• ISBN: 3-030-30487-6
• Edizione: [1st ed. 2019.]
• Descrizione fisica: 1 online resource (XXX, 839 p. 372 illus., 242 illus. in color.)
• Collana: Theoretical Computer Science and General Issues, , 2512-2029 ; ; 11727
• Disciplina: 006.31
• Soggetti: Artificial intelligence; Computer vision; Computer engineering; Computer networks; Algorithms; Data protection; Artificial Intelligence; Computer Vision; Computer Engineering and Networks; Computer Communication Networks; Data and Information Security
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Bidirectional associative memory with block coding: A comparison of iterative retrieval methods -- Stability analysis of a generalised class of BAM neural networks with mixed delays -- Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays -- A Nonlinear Fokker-Planck Description of Continuous Neural Network Dynamics -- Multi-modal associative storage and retrieval using Hopfield auto-associative memory network -- Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor Independent of Multi-Values -- A Comparative Analysis of Preprocessing Methods for Single-Trial Event Related Potential Detection -- Sleep State Analysis using Calcium Imaging Data by Non-negative Matrix Factorization -- Detection of directional information flow induced by TMS based on symbolic transfer entropy -- Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network -- Distinguishing Violinists and Pianists based on their Brain Signals -- Research on Image-to-Image Translation with Capsule Network -- Multi-View Capsule Network -- Advanced Capsule Networks via Context Awareness -- DDRM-CapsNet: Capsule Network based on Deep Dynamic Routing Mechanism for complex data -- Squeezed Very Deep Convolutional Neural Networks for Text Classification -- NeuroPower: Designing Energy Efficient Convolutional Neural Network Architecture for Embedded Systems -- Swap kernel regression -- Model-Agnostic Explanations for Decisions using Minimal Patterns -- NARPCA: Neural Accumulate-Retract PCA for Low-latency High-throughput Processing on Datastreams -- An Evaluation of Various Regression Models for the Prediction of Two-Terminal Network Reliability -- Capsule Generative Models -- Evaluating CNNs on the Gestalt Principle of Closure -- Recovering Localized Adversarial Attacks -- On the Interpretation of Recurrent Neural Networks as Finite State Machines -- Neural field model for measuring and reproducing time intervals -- Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models -- NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images -- Deep Semantic Asymmetric Hashing -- A Neural Network for Semi-Supervised Learning on Manifolds -- Counting with Analog Neurons -- On the Bounds of Function Approximations -- Probabilistic Bounds for Approximation by Neural Networks -- Tree Memory Networks for Sequence Processing -- On Deep Set Learning and the Choice of Aggregations -- Hilbert Vector Convolutional Neural Network : 2D Neural Network on 1D Data -- The Same Size Dilated Attention Network for Keypoint Detection -- Gradient-Based Learning of Compositional Dynamics with Modular RNNs -- Transfer Learning with Sparse Associative Memories -- Linear Memory Networks -- A Multi-Armed Bandit Algorithm Available in Stationary or Non-Stationary Environments Using Self-Organizing Maps -- Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions -- Boosting Reinforcement Learning with Unsupervised Feature Extraction -- A multi-objective Reinforcement Learning algorithm for JSSP -- A Reinforcement Learning Approach for Sequential Spatial Transformer Networks -- Deep Recurrent Policy Networks for Planning under Partial Observability -- Mixed-Reality Deep Reinforcement Learning for a Reach-to-grasp Task -- FMNet: ; Multi-Agent Cooperation by Communicating with Featured Message Network -- Inferring Event-Predictive Goal-Directed Object Manipulations in REPRISE -- On Unsupervised Learning of Traversal Cost and Terrain Types Identification using Self-Organizing Maps -- Scaffolding Haptic Attention with Controller Gating -- Benchmarking Incremental Regressors in Traversal Cost Assessment -- CPG driven RBF Network Control with Reinforcement Learning for Gait Optimization of a Dung Beetle-like Robot -- Training Delays in Spiking Neural Networks -- An Izhikevich Model Neuron MOS Circuit for Low Voltage Operation -- UAV Detection: A STDP trained Deep Convolutional Spiking Neural Network Retina-Neuromorphic Approach -- Autonoumous Learning Paradigm for Spiking Neural Networks -- Multi-objective Spiking Neural Network Hardware Mapping Based on Immune Genetic Algorithm -- The Importance of Self-excitation in Spiking Neural Networks Evolved to Recognize Temporal Patterns -- Estimating and factoring the dropout induced distribution with Gaussian mixture model -- Sequence disambiguation with synaptic traces in associative neural networks -- Robust Optimal-Size Implementation of Finite State Automata with Synfire Ring-Based Neural Networks -- A Neural Circuit Model of Adaptive Robust Tracking Control for Continuous-Time Nonlinear Systems.
• Sommario/riassunto: The proceedings set LNCS 11727, 11728, 11729, 11730, and 11731 constitute the proceedings of the 28th International Conference on Artificial Neural Networks, ICANN 2019, held in Munich, Germany, in September 2019. The total of 277 full papers and 43 short papers presented in these proceedings was carefully reviewed and selected from 494 submissions. They were organized in 5 volumes focusing on theoretical neural computation; deep learning; image processing; text and time series; and workshop and special sessions. .