1.

Record Nr.

UNISA996247955603316

Autore

Bloch Ruth H. <1949->

Titolo

Visionary republic : millennial themes in American thought 1756-1800 / / Ruth H. Bloch

Pubbl/distr/stampa

Cambridge : , : Cambridge University Press, , 1985

ISBN

0-511-09706-9

0-511-58381-8

Descrizione fisica

1 online resource (xvi, 291 pages) : illustrations; digital, PDF file(s)

Disciplina

973.3

Soggetti

Millennialism - United States - History - 18th century

United States History Revolution, 1775-1783 Religious aspects

United States History Revolution, 1775-1783 Causes

United States Church history To 1775

United States Intellectual life 18th century

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di bibliografia

Includes bibliographic references and index.

Nota di contenuto

pt. 1. The development of a millenial tradition in colonial America -- pt. 2. The rise and decline of millenialism in the Revolutionary era -- pt. 3. The eschatological revival of the 1790's.

Sommario/riassunto

An account of the role of millennial thinking in the age of the American Revolution, this book demonstrates the popularity and diffusion of millennial expectations among several types of American Protestants by the middle of the eighteenth century and illuminates the way these hopes shaped the understanding of the Revolution and the symbolic meaning of the new nation. Unlike most previous works, this study extends well beyond the social and geographic perimeters of the New England clergy and is based on a wide range of secular as well as religious literature. The book not only sheds light on the role of religion in the American Revolution, but it also surveys an important facet of the intellectual history of the early Republic. Analysing the interplay of millennial, republican and Enlightenment ideas about the future, the author reveals both complementary and contradictory themes in American thought of an older cultural tradition of millennialism while at the same time tracing variations and changes



within that tradition during this formative period of American history.

2.

Record Nr.

UNINA9910983355003321

Autore

Lemaire Vincent

Titolo

Advanced Analytics and Learning on Temporal Data : 9th ECML PKDD Workshop, AALTD 2024, Vilnius, Lithuania, September 9–13, 2024, Revised Selected Papers / / edited by Vincent Lemaire, Georgiana Ifrim, Anthony Bagnall, Thomas Guyet, Simon Malinowski, Patrick Schäfer, Romain Tavenard

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

9783031770661

3031770668

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (156 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15433

Altri autori (Persone)

IfrimGeorgiana

BagnallAnthony

GuyetThomas

MalinowskiSimon

SchäferPatrick

TavenardRomain

Disciplina

006.3

Soggetti

Artificial intelligence

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Conformal Prediction Techniques for Electricity Price Forecasting -- Multivariate Human Activity Segmentation Systematic Benchmark with ClaSP -- Comparing the Performance of Recurrent Neural Network and Some Well Known Statistical Methods in the Case of Missing Multivariate Time Series Data -- Accurate and Efficient Real World Fall Detection Using Time Series Techniques -- Highly Scalable Time Series Classification for Very Large Datasets -- Classification of Raw MEG/EEG Data with Detach-Rocket Ensemble An Improved ROCKET Algorithm for Multivariate Time Series Analysis -- Change Detection in Multivariate data streams Online Analysis with Kernel QuantTree -- Weighted



Average of Human Motion Sequences for Improving Rehabilitation Assessment.

Sommario/riassunto

This book constitutes the refereed proceedings of the 9th ECML PKDD workshop on Advanced Analytics and Learning on Temporal Data, AALTD 2024, held in Vilnius, Lithuania, during September 9-13, 2024. The 8 full papers presented here were carefully reviewed and selected from 15 submissions. The papers focus on recent advances in Temporal Data Analysis, Metric Learning, Representation Learning, Unsupervised Feature Extraction, Clustering, and Classification.