This project contains Naive and Fishers bayesian classifiers, as described in Toby Segaran's book "Programming Collective Intelligence." The book has python implementations; this is a Java implementation.
Sensitivity (also called recall rate in some fields) measures the proportion of actual positives which are correctly identified as such (e.g. the percentage of sick people who are correctly identified as having the condition). Specificity measures the proportion of negatives which are correctly identified (e.g. the percentage of healthy people who are correctly identified as not having the condition).
Libtextcat is a library with functions that implement the classification technique described in Cavnar & Trenkle, "N-Gram-Based Text Categorization" [1]. It was primarily developed for language guessing, a task on which it is known to perform with near-pe
In this article we will look at a supervised machine learning algorithm called Logistic Regression Classifier for multi-class classification .; Author: pi19404; Updated: 29 Sep 2014; Section: Algorithms & Recipes; Chapter: General Programming; Updated: 29 Sep 2014
ci-bayes, a project hosted on java.net, has released its first stable version. ci-bayes allows the use of a classifier to determine what classification a given object might fall into, given prior training, and provides multiple
F. Abbattista, V. Carofiglio, and M. Koppen. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 769. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
J. Aguilar, J. Riquelme, and M. Toro. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 771. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
J. Aguilar, and P. Miranda. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 3--10. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
H. Aguirre, K. Tanaka, and T. Sugimura. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 772. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
M. Ahluwalia, and L. Bull. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 11--18. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
A. Akyol, Y. Yaslan, and O. Erol. Proceedings of the 9th European Conference on Symbolic
and Quantitative Approaches to Reasoning with
Uncertainty, ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 878--888. Hammamet, Tunisia, Springer, (October 2007)
E. Alba, C. Cotta, and J. Troya. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 773. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
A. Almal, A. Mitra, R. Datar, P. Lenehan, D. Fry, R. Cote, and W. Worzel. GECCO 2006: Proceedings of the 8th annual conference
on Genetic and evolutionary computation, 1, page 239--246. Seattle, Washington, USA, ACM Press, (8-12 July 2006)
P. Bael, D. Devogelaere, and M. Rijckaert. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 665--669. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
A. Bagnall, and G. Smith. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 774. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
A. Barry. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 19--26. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)
A. Barry. Proceedings of the Genetic and Evolutionary
Computation Conference, 1, page 27--34. Orlando, Florida, USA, Morgan Kaufmann, (13-17 July 1999)