Name
Abstract | ||
|---|---|---|
In the Afterword to the second edition of the book “Estimation of Dependences Based on Empirical Data” by V. Vapnik, an advanced learning paradigm called Learning Using Hidden Information (LUHI) was introduced. This Afterword also suggested an extension of the SVM method (the so called SVMγ+ method) to implement algorithms which address the LUHI paradigm (Vapnik, 1982–2006, Sections 2.4.2 and 2.5.3 of the Afterword). See also (Vapnik et al., 2008, Vapnik et al., 2009) for further development of the algorithms. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.neunet.2009.06.042 | Neural Networks |
Keywords | Field | DocType |
Machine learning,SVM,SVM+,Hidden information,Privileged information,Learning with teacher,Oracle SVM | Computer science,Support vector machine,Oracle,Artificial intelligence,Signal classification,Machine learning | Journal |
Volume | Issue | ISSN |
22 | 5 | 0893-6080 |
Citations | PageRank | References |
113 | 3.96 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vladimir Vapnik | 1 | 16075 | 3397.91 |
| Akshay Vashist | 2 | 176 | 12.64 |