Gokhan Bakir

Predicting Structured Data - Neural Information Processing series Gokhan Bakir

Marc Notes: Collected papers based on talks presented at two Neural Information Processing Systems workshops.; Includes bibliographical references (pages 319-340) and index.; Use copy; Restrictions unspecified;star; MiAaHDL; Electronic reproduction.;[S.l.]: HathiTrust Digital Library; 2010.; MiAaHDL; Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.;http: //purl.oclc.org/DLF/benchrepro0212; MiAaHDL;digitized;2010; HathiTrust Digital Library;committed to preserve;pda; MiAaHDL; Description based on print version record.; EBSCO complete collection. Publisher Marketing: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.

Contributor Bio:  Hofmann, Thomas Thomas Hofmann is a Director of Engineering at Google's Engineering Center in Zurich and Adjunct Associate Professor of Computer Science at Brown University. Contributor Bio:  Scholkopf, Bernhard Bernhard Scholkopf is Professor and Director at the Max Planck Institute for Biological Cybernetics in Tubingen, Germany. He is coauthor of "Learning with Kernels" (2002) and is a coeditor of "Advances in Kernel Methods: Support Vector Learning" (1998), "Advances in Large-Margin Classifiers" (2000), and "Kernel Methods in Computational Biology" (2004), all published by the MIT Press.