You've built a vibrant community of Family Guy enthusiasts. The SVD recommendation algorithm took your site to the next level by allowing you to leverage the implicit knowledge of your community. But now you're ready for the next iteration - you are about
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.
LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM.
Main features of LIBLINEAR include
* Same data format as LIBSVM, our general-purpose SVM solver, and also similar usage
* Multi-class classification: 1) one-vs-the rest, 2) Crammer & Singer
* Cross validation for model selection
* Probability estimates (logistic regression only)
* Weights for unbalanced data
* MATLAB/Octave, Java interfaces
Other articles where Thesaurus is discussed: library: Thesauri: A new use of the term thesaurus, now widespread, dates from the early 1950s in the work of H.P. Luhn, at International Business Machines Corporation (IBM), who was searching for a computer process that could create a list of authorized terms for the indexing…
Emily Drabinski , Queering the Catalog: Queer Theory and the Politics of Correction, The Library Quarterly: Information, Community, Policy, Vol. 83, No. 2 (April 2013), pp. 94-111
W. Martins, M. Goncalves, A. Laender, and G. Pappa. Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries, page 193--202. New York, NY, USA, ACM, (2009)