A Text Feature Selection Method Based on the Small ... - Science Direct
Recommend Documents
2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of ... data set and the original data set, the average classification speed of the.
Aneesh M Ub, Abhishek A K Masandb, K Manikantana, a* b* ..... [6] Mark S. Nixon, Alberto S. Aguado, âFeature Extraction & Image Processingâ, Second edition, Elsevier ... [7] John Canny, âA Computational Approach to Edge Detectionâ, IEEE ...
in scientific research such as bioinformatics, machine learning and computer .... The information gain (IG) is the difference between entropy of the class and .... In Advances in Computer Science and Information Technology Springer, 2011, pp.
A feature selection method based on an improved fruit fly optimization algorithm in the process of numerical control milling. Min Yuan and Mei Wang. Abstract.
Apr 19, 2011 - In this paper, we introduce the Discrete Function Learning algorithm [14] as a ...... the hash table, since a too large value is a waste but too small value may incur ..... Martınez Sotoca, J.; Pla, F. Supervised feature selection by
A Hybrid Method of Unsupervised Feature Selection Based on Ranking. Yun Li, Bao-Liang Lu. Department of Computer Science and Engineering. Shanghai ...
based on binary state transition algorithm (BSTA) and ReliefF, called ReliefF-BSTA. This method contains two phases: the filter phase and the wrapper phase.
database consisting of 120 speakers and a maximum identification efficiency of ... Several speech corpuses such as TIMIT, YOHO are readily available for ...
from different rank lists, known as rank aggregation, is ..... The free software Libsvm-2.6 [25] is used to train and predict our data sets and RBF-SVM (Radial basis ...
which mutual information, information gain and chi-square are considered most .... classified documents to the number of classified documents and recall is the ...
Abstract. This paper describes automatic document categorization based on large text hierarchy. We handle the large number of features and training examples ...
Jun 22, 2018 - In the investigated images (obtained from satellite and UAV images), the variable .... The linear kernel function is a special case of RBF.
Jul 6, 2013 - The Scientific World Journal. Volume 2013, Article ID 419187, 10 pages http://dx.doi.org/10.1155/2013/419187. Research Article. Feature ...
a School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, ... c School of Geographical sciences, Guangzhou University, Guangzhou ...
Load Forecasting, Entropy-based Feature Selection, Smart Grid,. Jaya Algorithm. .... time lags and the number of layers for the LSTM model and as well as the ...
applied to text categorization, we use two different classifiers, k-nearest-neighbor classifier .... 5 Tom Mitchell. Machine Learning. McCraw Hill, 1996. 6 Pawlak Z.
Aug 23, 2013 - Editor: Yoshihiko Hoshino, National Institute of Infectious Diseases, Japan. Received .... amino acid sequence is cleaved by HIV-1 protease.
On knowledge based methods, Google and IBM master the state-of-the-art. Google's knowledge graph [10] serves as a formal knowledge definition, by which ...
firstly eliminates the geometric distortion of sequence image using IPM transform ... Keywords: inverse perspective mapping (IPM); marking lines detection; traffic ...
two contexts : supervised or unsupervised (clustering). While there are a ... In categorical data framework, the notion of similarity between objects of a dataset is ...
... and many researchers provide variety of algorithms to deal with this function in ... an overview of data envelopment and Shannon Entropy and their results are ...
empirical study to proof that the HS method outperforms other selection method. From ... Definition 1: Core data: Assume that the number of classes is equal to .
Computer Engineering,. Tafila Technical ... online databases, and online news. Although a lot ..... Dr. Hawashin received his B.S. in Computer Science from The.
Selection and peer-review under responsibility of Missouri University of ... School of Computer Science, University of Guelph, Guelph, ON N1L 1L9, CANADA.
A Text Feature Selection Method Based on the Small ... - Science Direct
