A comparison of Venn machine with Platt's method in probabilistic outputs

IFIP Advances in Information and Communication Technology

Volumn 364 AICT, Issue PART 2, 2011, Pages 483-490

  Zhou, Chenzhe ^a   Nouretdinov, Ilia ^a   Luo, Zhiyuan ^a   Adamskiy, Dmitry ^a   Randell, Luke ^b   Coldham, Nick ^b   Gammerman, Alex ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

^b VETERINARY LABORATORIES AGENCY   (United Kingdom)

Author keywords

Probabilistic Estimation; Support Vector Machine; Venn Machine

Indexed keywords

INFORMATION TECHNOLOGY; SUPPORT VECTOR MACHINES;

PROBABILISTIC ESTIMATION; PROBABILISTIC OUTPUT; S-METHOD;

ARTIFICIAL INTELLIGENCE;

EID: 80055042973     PISSN: 18684238     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-23960-1_56     Document Type: Conference Paper

References (4)

1. Platt, J.C.: Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods. In: Advances in Large Margin Classifiers, pp. 61-74. MIT Press, Cambridge (1999)
2. Gammerman, A., Vovk, V.: Hedging Predictions in Machine Learning (with discussion). The Computer Journal 50(2), 151-163 (2007)
3. Vovk, V., Gammerman, A., Shafer, G.: Algorithmic Learning in a Random World. Springer, Heidelberg (2005)
4. Vapnik, V.: The Nature of Statistical Learning Theory. Springer, Heidelberg (1995)