Rural politics in India : political stratification and governance in West Bengal / / Dayabati Roy [[electronic resource]]

• Record Nr.: UNINA9910463755003321
• Autore: Rāẏa Daẏābatī
• Pubbl/distr/stampa: Cambridge : , : Cambridge University Press, , 2014
• ISBN: 1-139-89354-8; 1-107-50128-8; 1-107-51428-2; 1-107-50398-1; 1-107-51705-2; 1-107-50665-4; 1-107-32631-1
• Descrizione fisica: 1 online resource (x, 279 pages) : digital, PDF file(s)
• Disciplina: 320.8/4095414
• Soggetti: Rural development - India - West Bengal; West Bengal (India) Politics and government
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Introduction -- Land, development and politics in West Bengal -- Kalipur and Kadampur : changing landscape of two villages in West Bengal -- Seeing the state and governance in the grassroots -- Party and politics at the margin -- A narrative of peasant resistance : land, party and the state -- Caste and power in rural context -- Women and caste : in struggle and in governance.
• Sommario/riassunto: This book discusses the forms and dynamics of political processes in rural India with a special emphasis on West Bengal, the nation's fourth-most populous state. West Bengal's political distinction stems from its long legacy of a Left-led coalition government for more than thirty years and its land reform initiatives. The book closely looks at how people from different castes, religions, and genders represent themselves in local governments, political parties, and in the social movements in West Bengal. At the same time it addresses some important questions: Is there any new pattern of politics emerging at the margins? How does this pattern of politics correspond with the ; current discourse of governance? Using ethnographic techniques, it claims to chart new territories by not only examining how rural people see the state, but also conceiving the context by comparing the available theoretical frameworks put forward to explain the political dynamics of rural India.

Review of Risk and exposure assessment to support the review of the carbon monoxide primary National Ambient Air Quality Standards (NAAQS) [[electronic resource] ] : second external review draft / / [signed] Joseph D. Brain, Jonathan M. Samet

• Record Nr.: UNINA9910701415603321
• Pubbl/distr/stampa: Washington, D.C. : , : U.S. Environmental Protection Agency, Office of the Administrator, Science Advisory Board, Clean Air Scientific Advisory Committee, , 2010
• Descrizione fisica: 1 online resource (36 pages)
• Altri autori (Persone): BrainJoseph; SametJonathan M
• Soggetti: Air quality management - United States; Carbon monoxide - Health aspects; Carbon monoxide - Environmental aspects; Air quality - Standards - United States
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from title screen (viewed on Apr. 5, 2012).; "May 19, 2010."; "EPA-CASAC-10-012."
• Nota di bibliografia: Includes bibliographical references.

Advances in Knowledge Discovery and Data Mining : 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III / / edited by Kamal Karlapalem, Hong Cheng, Naren Ramakrishnan, R. K. Agrawal, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty

• Record Nr.: UNINA9910483761903321
• Pubbl/distr/stampa: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
• ISBN: 3-030-75768-4
• Edizione: [1st ed. 2021.]
• Descrizione fisica: 1 online resource (XXIII, 434 p. 142 illus., 117 illus. in color.)
• Collana: Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 12714
• Disciplina: 006.3
• Soggetti: Artificial intelligence; Social sciences - Data processing; Algorithms; Education - Data processing; Computer science - Mathematics; Computer vision; Artificial Intelligence; Computer Application in Social and Behavioral Sciences; Design and Analysis of Algorithms; Computers and Education; Mathematics of Computing; Computer Vision
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Representation Learning and Embedding -- Episode Adaptive Embedding Networks for Few-shot Learning -- Universal Representation for Code -- Self-supervised Adaptive Aggregator Learning on Graph -- A Fast Algorithm for Simultaneous Sparse Approximation -- STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning -- RW-GCN: Training Graph Convolution Networks with biased random walk for Semi-; Supervised Classification -- Loss-aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models -- SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network -- VIKING: Adversarial Attack on Network Embeddings via Supervised Network Poisoning -- Self-supervised Graph Representation Learning with Variational Inference -- Manifold Approximation and Projection by Maximizing Graph Information -- Learning Attention-based Translational Knowledge Graph Embedding via Nonlinear Dynamic Mapping -- Multi-Grained Dependency Graph Neural Network for Chinese Open Information Extraction -- Human-Understandable Decision Making for Visual Recognition -- LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding -- Transferring Domain Knowledge with an Adviser in Continuous Tasks -- Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach -- Quality Control for Hierarchical Classification with Incomplete Annotations -- Learning from Data -- Learning Discriminative Features using Multi-label Dual Space -- AutoCluster: Meta-learning Based Ensemble Method for Automated Unsupervised Clustering -- BanditRank: Learning to Rank Using Contextual Bandits -- A compressed and accelerated SegNet for plant leaf disease segmentation: A Differential Evolution based approach -- Meta-Context Transformers for Domain-Specific Response Generation -- A Multi-task Kernel Learning Algorithm for Survival Analysis -- Meta-data Augmentation based Search Strategy through Generative Adversarial Network for AutoML Model Selection -- Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction -- Rule Injection-based Generative Adversarial Imitation Learning for Knowledge Graph Reasoning -- Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition -- Reinforced Natural Language Inference for Distantly Supervised Relation Classification -- SaGCN: Structure-aware Graph Convolution Network for Document-level Relation Extraction -- Addressing the class imbalance problem in medical image segmentation via accelerated Tversky loss function -- Incorporating Relational Knowledge in Explainable Fake News Detection -- Incorporating Syntactic Information into Relation Representations for Enhanced Relation Extraction.
• Sommario/riassunto: The 3-volume set LNAI 12712-12714 constitutes the proceedings of the 25th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2021, which was held during May 11-14, 2021. The 157 papers included in the proceedings were carefully reviewed and selected from a total of 628 submissions. They were organized in topical sections as follows: Part I: Applications of knowledge discovery and data mining of specialized data; Part II: Classical data mining; data mining theory and principles; recommender systems; and text analytics; Part III: Representation learning and embedding, and learning from data.