Predictions with confidence in applications

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5632 LNAI, Issue , 2009, Pages 775-786

  Dashevskiy, Mikhail ^a   Luo, Zhiyuan ^a  

^a UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Confidence Machines; Conformal Predictors; Machine Learning; Prediction with Confidence; Probabilistic Prediction; Venn Probability Machine

Indexed keywords

CONFIDENCE MACHINES; CONFORMAL PREDICTORS; MACHINE LEARNING; PREDICTION WITH CONFIDENCE; PROBABILISTIC PREDICTION; VENN PROBABILITY MACHINE;

EDUCATION; FORECASTING; PATTERN RECOGNITION; ROBOT LEARNING;

ALGORITHMS;

EID: 70350224098     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03070-3_58     Document Type: Conference Paper

References (9)

1. Bellotti, T., et al.: Qualified Predictions For Microarray And Proteomics Pattern Diagnostics With Confidence Machines. International Journal of Neural Systems 15(4), 1-12 (2005)
2. Heck, D., et al.: A Monte Carlo code to simulate extensive air showers. Forschungszentrum Karlsruhe FZKA 6019 (1998)
3. Moore, A.W.: Discrete content-based classification - a data set. Technical report, Intel. Research, Cambridge (2005)
4. Moore, A.W., Zuev, D.: Internet traffic classification using Bayesian analysis techniques. In: SIGMETRICS (2005)
5. Moore, A.W., Papagiannaki, D.: Toward the accurate identification of network applications. In: Dovrolis, C. (ed.) PAM 2005. LNCS, vol. 3431, pp. 41-54. Springer, Heidelberg (2005)
6. Partridge, D., et al.: Classification with Confidence for Critical Systems. Developments in Risk-based Approaches to Safety 6, 231-239 (2007)
7. Tóth, N., Pataki, B.: On Classification Confidence and Ranking Using Decision Trees. In: Proceedings of 11th International Conference on Intelligent Engineering Systems (2007)
8. Vovk, V.: A game of prediction with expert advice. Journal of Computer and System Sciences 56, 153-173 (1998)
9. Vovk, V., Gammerman, A., Shafer, G.: Algorithmic learning in a random world. Springer, Heidelberg (2005)