Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Why are some places in the world characterized by better social service provision and welfare outcomes than others? In a world in which millions of people, particularly in developing countries, continue to lead lives plagued by illiteracy and ill-health, understanding the conditions that promote social welfare is of critical importance to political scientists and policy makers alike. Drawing on a multi-method study, from the late nineteenth century to the present, of the stark variations in educational and health outcomes within a large, federal, multiethnic developing country - India - this book develops an argument for the power of collective identity as an impetus for state prioritization of social welfare. Such an argument not only marks an important break from the dominant negative perceptions of identity politics but also presents a novel theoretical framework to understand welfare provision.

Subnational governments --- Nationalism --- Political science --- India --- Social policy. --- Social conditions. --- Politics and government.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book investigates the phenomenon of actuality inferences, in which claims of ability are-in certain temporal contexts-interpreted as descriptions of actual events, instead of as descriptions of potentialities or possibilities. Although actuality inferences evidently arise in the interaction between modality and aspect, they have long resisted compositional explication in standard treatments of these semantic categories. Prerna Nadathur here pursues a newapproach, in which actuality inferences are linked to a novel component in the semantics of ability: causal dependence relations. The account is developed through a comparative, crosslinguistic semantic analysis of three predicate classes that license similar inferences: implicative verbs in Finnish andEnglish, enough/too predicates in French and English, and (modal) ability predicates in French, Hindi, and English. Similarities in the inferential profiles of these predicates are tied to their shared causal background structure, while their differences-including in sensitivity to grammatical aspect-derive from differences in asserted content and associated aspectual class contrasts. The central argument is that a complex causal structure for ability interacts with the compositionalrequirements of aspect to derive the observed actuality-ability ambiguity. The volume shows that causal structure and causal relationships shape patterns of linguistic inference beyond the overtly causal domain, and thus contributes to a new and growing body of research in which formal, computational causalmodels are employed as an analytic tool for lexical and compositional semantics.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Adolescence --- Teenagers --- #SBIB:316.356.2H2230 --- #SBIB:324H60 --- #SBIB:314H330 --- Adolescents --- Teen-agers --- Teens --- Young adults (Teenagers) --- Youth --- Teen-age --- Puberty --- Research --- Government policy --- Civil rights --- Gezinssociologie: socialisatie, gezin als pedagogisch milieu --- Politieke socialisatie --- Bevolkingsstudies: leeftijdsgroepen: jeugd: algemeen --- Development

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

Computer science. --- Medical care. --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Delivery of health care --- Delivery of medical care --- Health care --- Health care delivery --- Health services --- Healthcare --- Medical and health care industry --- Medical services --- Personal health services --- Public health --- Informatics --- Science --- Artificial Intelligence. --- Machine learning. --- Medical informatics.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.

Applied physical engineering --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- machine learning --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- robots --- AI (artificiële intelligentie) --- Machine learning. --- Medical informatics.