Empirical Inference

A kernel approach for learning from almost orthogonal patterns

2002

Conference Paper

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Author(s): Schölkopf, B. and Weston, J. and Eskin, E. and Leslie, C. and Noble, WS.
Book Title: Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science
Journal: 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), Helsinki
Volume: 2430/2431
Pages: 511-528
Year: 2002
Day: 0

Series: Lecture Notes in Computer Science
Editors: T Elomaa and H Mannila and H Toivonen
Publisher: Springer

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

DOI: 10.1007/3-540-45681-3_42
Event Name: 13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD’2002)
Event Place: Helsinki

Address: Berlin, Germany
Digital: 0
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

Links: PostScript

BibTex

@inproceedings{1770,
  title = {A kernel approach for learning from almost orthogonal patterns},
  author = {Sch{\"o}lkopf, B. and Weston, J. and Eskin, E. and Leslie, C. and Noble, WS.},
  journal = {13th European Conference on Machine Learning (ECML 2002) and 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'2002), Helsinki},
  booktitle = {Principles of Data Mining and Knowledge Discovery, Lecture Notes in Computer Science},
  volume = {2430/2431},
  pages = {511-528},
  series = {Lecture Notes in Computer Science},
  editors = {T Elomaa and H Mannila and H Toivonen},
  publisher = {Springer},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Berlin, Germany},
  year = {2002},
  doi = {10.1007/3-540-45681-3_42}
}