Tree-Based Convolutional Neural Networks_ Principles and Applications_Lili Mou, Zhi Jin.pdf

123 SPRINGER BRIEFS IN COMPUTER SCIENCE Lili Mou · Zhi Jin Tree-Based Convolutional Neural Networks Principles and Applications SpringerBriefs in Computer Science Series editors Stan Zdonik, Brown University, Providence, RI, USA Shashi Shekhar, University of Minnesota, Minneapolis, MN, USA Xindong Wu, University of Vermont, Burlington, VT, USA Lakhmi C. Jain, University of South Australia, Adelaide, SA, Australia David Padua, University of Illinois Urbana-Champaign, Urbana, IL, USA Xuemin Sherman Shen, University of Waterloo, Waterloo, ON, Canada Borko Furht, Florida Atlantic University, Boca Raton, FL, USA V. S. Subrahmanian, Department of Computer Science, University of Maryland, College Park, MD, USA Martial Hebert, Carnegie Mellon University, Pittsburgh, PA, USA Katsushi Ikeuchi, University of Tokyo, Tokyo, Japan Bruno Siciliano, Universitàdi Napoli, Naples, Italy Sushil Jajodia, George Mason University, Fairfax, VA, USA Newton Lee, Newton Lee Laboratories, LLC, Tujunga, CA, USA SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum offields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic. Typical topics might include: A timely report of state-of-the art analytical techniques A bridge between new research results, as published in journal articles, and a contextual literature review A snapshot of a hot or emerging topic An in-depth case study or clinical example A presentation of core concepts that students must understand in order to make independent contributions Briefs allow authors to present their ideas and readers to absorb them with minimal time investment. Briefs will be published as part of Springer’s eBook collection, with millions of users worldwide. In addition, Briefs will be available for individual print and electronic purchase. Briefs are characterized by fast, global electronic dissemination, standard publishing contr