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Titlebook: Statistical Network Analysis: Models, Issues, and New Directions; ICML 2006 Workshop o Edoardo Airoldi,David M. Blei,Alice X. Zheng Confere

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书目名称Statistical Network Analysis: Models, Issues, and New Directions
副标题ICML 2006 Workshop o
编辑Edoardo Airoldi,David M. Blei,Alice X. Zheng
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Statistical Network Analysis: Models, Issues, and New Directions; ICML 2006 Workshop o Edoardo Airoldi,David M. Blei,Alice X. Zheng Confere
描述This volume was prepared to share with a larger audience the exciting ideas and work presented at an ICML 2006 workshop of the same title. Network models have a long history. Sociologists and statisticians made major advances in the 1970s and 1980s, culminating in part with a number of substantial databases and the class of exponential random graph models and related methods in the early 1990s. Physicists and computer scientists came to this domain cons- erably later, but they enriched the array of models and approaches and began to tackle much larger networks and more complex forms of data. Our goal in organ- ing the workshop was to encourage a dialog among people coming from di?erent disciplinary perspectives and with di?erent methods, models, and tools. Both the workshop and the editing of the proceedings was a truly colla- rative e?ort on behalf of all six editors, but three in particular deserve special recognition. Anna Goldenberg and Alice Zheng were the driving force behind the entire enterprise and Edo Airoldi assisted on a number of the more important arrangements.
出版日期Conference proceedings 2007
关键词Online; calculus; distributed networks; dynamical networks; evolving networks; genetic algorithms; graph d
版次1
doihttps://doi.org/10.1007/978-3-540-73133-7
isbn_softcover978-3-540-73132-0
isbn_ebook978-3-540-73133-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Andrew McCallum,Xuerui Wang,Natasha Mohantye capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and mem
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Edoardo M. Airoldi,David M. Blei,Stephen E. Fienberg,Eric P. Xinge capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and mem
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Anna Goldenberg,Alice Zhenge capabilities. The book is divided into three main parts. In the first part, leading computational neuroscientists present brain-inspired models of perception, attention, cognitive control, decision making, conflict resolution and monitoring, knowledge representation and reasoning, learning and mem
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