Excercise 5

1. Write the database of the hotel (similar to the library database)

2. Go to the library website, search for the bibliographic of        database book in the library catalog (OPAC =   Online Public Access Catalog)

3. Go to the library e-book database, search for the articles about database from Proquest, ABI/INFORM,  Dissertation & theses

A discrete mixture-based kernel for SVMs: Application to spani and image categorization

Nizar Bouguila, Ola Amayri. Information Processing & Management. Oxford: Nov 2009. Vol. 45,
Iss. 6; pg. 631

Abstract (Summary)

In this paper, we investigate the problem of training support vector machines (SVMs) on count data. Multinomial Dirichlet mixture models allow us to model efficiently count data. On the other hand, SVMs permit good discrimination. We propose, then, a hybrid model that appropriately combines their advantages. Finite mixture models are introduced, as an SVM kernel, to incorporate prior knowledge about the nature of data involved in the problem at hand. For the learning of our mixture model, we propose a deterministic annealing component-wise EM algorithm mixed with a minimum description length type criterion. In the context of this model, we compare different kernels. Through some applications involving spam and image database categorization, we find that our data-driven kernel performs better.
[PUBLICATION ABSTRACT]

Indexing (document details)
Subjects: Models, Optimization algorithms, Spamming, Information processing, Image processing systems
           ,  Studies Classification Codes 5200 Communications & information management,
             9130   Experiment/theoretical treatment
Author(s): Nizar Bouguila, Ola Amayri
Document types: Feature
Publication title: Information Processing & Management. Oxford: Nov 2009. Vol. 45, Iss. 6; pg. 631
Source type: Periodical
ISSN: 03064573
ProQuest document ID: 1852553701

http://proquest.umi.com/pqdweb?did=1852553701&sid=1&Fmt=2&clientId=59768&RQT=309&VName=PQD