Report

Report
Author: United States. Congress. House
Publisher:
Total Pages: 2340
Release:
Genre: United States
ISBN:

Journal of the House of Representatives of the United States

Journal of the House of Representatives of the United States
Author: United States. Congress. House
Publisher:
Total Pages: 1480
Release: 1958
Genre: Legislation
ISBN:

Some vols. include supplemental journals of "such proceedings of the sessions, as, during the time they were depending, were ordered to be kept secret, and respecting which the injunction of secrecy was afterwards taken off by the order of the House."

Cybernetics, Cognition and Machine Learning Applications

Cybernetics, Cognition and Machine Learning Applications
Author: Vinit Kumar Gunjan
Publisher: Springer Nature
Total Pages: 439
Release: 2021-03-30
Genre: Technology & Engineering
ISBN: 9813366915

This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India. It covers the latest research trends or developments in areas of data science, artificial intelligence, neural networks, cognitive science and machine learning applications, cyber physical systems and cybernetics.

Assessing Competence in Professional Performance across Disciplines and Professions

Assessing Competence in Professional Performance across Disciplines and Professions
Author: Paul F. Wimmers
Publisher: Springer
Total Pages: 488
Release: 2016-04-19
Genre: Education
ISBN: 3319300644

This book examines the challenges of cross-professional comparisons and proposes new forms of performance assessment to be used in professions education. It addresses how complex issues are learned and assessed across and within different disciplines and professions in order to move the process of “performance assessment for learning” to the next level. In order to be better equipped to cope with increasing complexity, change and diversity in professional education and performance assessment, administrators and educators will engage in crucial systems thinking. The main question discussed by the book is how the required competence in the performance of students can be assessed during their professional education at both undergraduate and graduate levels. To answer this question, the book identifies unresolved issues and clarifies conceptual elements for performance assessment. It reviews the development of constructs that cross disciplines and professions such as critical thinking, clinical reasoning, and problem solving. It discusses what it means to instruct and assess students within their own domain of study and across various roles in multiple contexts, but also what it means to instruct and assess students across domains of study in order to judge integration and transfer of learning outcomes. Finally, the book examines what it takes for administrators and educators to develop competence in assessment, such as reliably judging student work in relation to criteria from multiple sources. "... the co-editors of this volume, Marcia Mentkowski and Paul F. Wimmers, are associated with two institutions whose characters are so intimately associated with the insight that assessment must be integrated with curriculum and instructional program if it is to become a powerful influence on the educational process ..." Lee Shulman, Stanford University

Dictionary of Minor Planet Names

Dictionary of Minor Planet Names
Author: Lutz D. Schmadel
Publisher: Springer Science & Business Media
Total Pages: 320
Release: 2009-06-23
Genre: Science
ISBN: 364201965X

The history and rapid development of minor planet dis In addition to citing the bibliographic source of the nam coveries constitute a fascinating story and one with a ing, we also provide the source of numbering. A spe rather breathtaking evolution. By October 2005, the cial concordance list will enable the evaluation of the total of numbered planets exceeded the remarkable cor respective publication dates. The complete work is, nerstone of 100,000 objects and only three years later of course, a thoroughly revised and considerably en in November 2008 we are even faced with minor planet larged data collection and every e?ort has been made ( ) 200000 . This dramatic evolution must be compared to check and correct each single piece of information ( ) with the huge time span of two centuries 1801–2000 again. For even more detailed information on the dis that was necessary to detect and to re?ne the orbits of covery circumstances of numbered but unnamed plan only the ?rst 20,000 minor planets. Nowadays, we need ets, the reader is referred to the extensive data ?les even less than 13 months for the same quantity! At the compiled by the Minor Planet Center. end of 2005, we had achieved a total of 12,804 named ( According to a resolution of IAU Division III 2000, minor planets a fraction of less than 11 per cent of ) Manchester IAU General Assembly DMPN attained all numbered minor planets.

Machine Learning for Ecology and Sustainable Natural Resource Management

Machine Learning for Ecology and Sustainable Natural Resource Management
Author: Grant Humphries
Publisher: Springer
Total Pages: 442
Release: 2018-11-05
Genre: Science
ISBN: 3319969781

Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.

The B-1 Bomber

The B-1 Bomber
Author: William G. Holder
Publisher: Aero Publishers (CA)
Total Pages: 112
Release: 1986
Genre: History
ISBN:

Beskriver det amerikanske bombefly B-1 og dets forskellige versioner.