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Titlebook: Making Work; Self-Created Jobs in William Ronco,Lisa Peattie,Sharon Moriearty Book 1983 Springer Science+Business Media New York 1983 Actio

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发表于 2025-3-21 19:34:53 | 显示全部楼层 |阅读模式
书目名称Making Work
副标题Self-Created Jobs in
编辑William Ronco,Lisa Peattie,Sharon Moriearty
视频video
丛书名称Environment, Development and Public Policy: Cities and Development
图书封面Titlebook: Making Work; Self-Created Jobs in William Ronco,Lisa Peattie,Sharon Moriearty Book 1983 Springer Science+Business Media New York 1983 Actio
描述This book began as an exploration of collaborative work orga­ nizations. We knew about people in various occupations who had gotten together to form organizations of equals to man­ age the settings within which they did their work. Among these organizations were a teacher-controlled public school, a fishermen‘s cooperative, a potters‘ studio, a public-interest advocacy group, and an architectural firm. We wondered how these groups functioned, and whether and how they contributed to making work satisfying for the individuals in them. These groups were, of course, pretty small potatoes, but it seemed to us that they provided a way to an understanding of some much larger current issues. Worker satisfaction has surfaced as an issue of current concern and has been repre­ sented in research documenting the growing expectations that the members of our society have of their work experi­ ence. More workers are more educated now than ever before, and more and more people seem to look to work as a personal outlet, rather than just a source of income. We saw our small, egalitarian work organizations as providing settings in which people were especially likely to v vi PREFACE find work satisfyi
出版日期Book 1983
关键词Action; REFA; autonomy; income; occupations; organization; organizations; research; school
版次1
doihttps://doi.org/10.1007/978-1-4684-4445-2
isbn_softcover978-1-4684-4447-6
isbn_ebook978-1-4684-4445-2
copyrightSpringer Science+Business Media New York 1983
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­ ence. More workers are more educated now than ever before, and more and more people seem to look to work as a personal outlet, rather than just a source of income. We saw our small, egalitarian work organizations as providing settings in which people were especially likely to v vi PREFACE find work satisfyi978-1-4684-4447-6978-1-4684-4445-2
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William Rondo,Lisa Peattie,Russ Tanner,Joan Wofford,Peter Linkow,Sharon Moriearty flexible and can naturally account for spatially and temporally varying dynamics of changes. We demonstrate a preliminary application of our non-parametric method on the modelling of within-subject structural changes in the context of longitudinal analysis in Alzheimer’s disease. In particular we s
发表于 2025-3-22 08:59:43 | 显示全部楼层
William Ronco,Lisa Peattie,Russ Tanner,Joan Wofford,Peter Linkow,Sharon Morieartyal feature space where the final classification is conducted. In addition, a simple decorrelated representation approach is proposed for tuning the model hyper-parameters. The proposed method is tested on a ten class recognition memory experiment with nine subjects. Results support the efficiency an
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William Ronco,Lisa Peattie,Russ Tanner,Joan Wofford,Peter Linkow,Sharon Morieartyto almost 88 %, compared to less than 86 % using a single kernel representing the whole brain. Moreover, interpretability of the classifier is also improved, as the optimal kernel weights are sparse and give an indication of the importance of each brain region in separating the two groups.
发表于 2025-3-22 18:33:56 | 显示全部楼层
William Ronco,Lisa Peattie,Russ Tanner,Joan Wofford,Peter Linkow,Sharon Morieartynction with the 32ndInternational Conference on Machine Learning, ICML 2015...The 10 papers presented in this volume were carefullyreviewed and selected for inclusion in the book. The papers communicate thespecific needs and nuances of medical imaging to the machine learning communitywhile exposing
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Joan Wofford flexible and can naturally account for spatially and temporally varying dynamics of changes. We demonstrate a preliminary application of our non-parametric method on the modelling of within-subject structural changes in the context of longitudinal analysis in Alzheimer’s disease. In particular we s
发表于 2025-3-23 03:21:18 | 显示全部楼层
With Russ Tannerons. The approach is based on training Gaussian process models of variable complexity by the evolution of the physical functions. We show that, as the complexity of the models increases, they become capable of predicting new transitions. We also show that, where the evolution of the physical functio
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