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Titlebook: Industrial Dynamics; Technological, Organ Bo Carlsson Book 1989 Kluwer Academic Publishers 1989 adjustment.capitalism.cooperation.developme

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發(fā)表于 2025-3-21 19:36:06 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Industrial Dynamics
副標題Technological, Organ
編輯Bo Carlsson
視頻videohttp://file.papertrans.cn/464/463987/463987.mp4
叢書名稱Studies in Industrial Organization
圖書封面Titlebook: Industrial Dynamics; Technological, Organ Bo Carlsson Book 1989 Kluwer Academic Publishers 1989 adjustment.capitalism.cooperation.developme
描述This book is based on the papers presented at a conference on "New Issues in Industrial Economics" held at Case Western Reserve University, Cleveland, Ohio, June 8-10, 1987. The conference was organized by the Research Program in Industrial Economics (RPIE) in the Department of Economics at CWRU and was sponsored by The Cleveland Foundation, the Eaton Corporation, and The Standard Oil Company (later renamed BP America, Inc.). Their generous support is gratefully acknowledged. All of the papers have been revised, in several cases extensively, since their presentation at the conference. One of the primary reasons for organizing the conference was the concern that Industrial Economics has become too narrowly focused in most academic programs, largely being confined to Industrial Organization, i.e., issues of public policy towards enterprise with emphasis on antitrust and regulatory policy. This subject definition leaves out a number of interesting and important questions about how industries evolve over time, what the role of technological change (and organizational change) is in that process, and the associated structural changes within industries and firms. The object of this book i
出版日期Book 1989
關鍵詞adjustment; capitalism; cooperation; development; dynamics; economic growth; globalization; growth; networks
版次1
doihttps://doi.org/10.1007/978-94-009-1075-1
isbn_softcover978-94-010-6973-1
isbn_ebook978-94-009-1075-1Series ISSN 0924-4646
issn_series 0924-4646
copyrightKluwer Academic Publishers 1989
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Bo Carlssonels are gradually injected into the labeled target dataset over the course of training. Specifically, we use a temperature scaled cosine similarity measure to assign a soft pseudo-label to the unlabeled target samples. Additionally, we compute an exponential moving average of the soft pseudo-labels
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