In this paper, we investigate chaotic−type features for universal speech steganalysis. These features are used in the design of linear regression classifier. The steganalyzer is tested on watermarking and steganographic methods. Experimental results show the potential of chaotic−type features for their discriminatory power to be used in steganalysis. We believe that the integration of chaotic−t...

This paper presents an approach to classify remote sensed data using a hybrid classifier. Random forest, Support Vector machines and boosting methods are used to build the said hybrid classifier. The central idea is to subdivide the input data set into smaller subsets and classify individual subsets. The individual subset classification is done using support vector machines classifier. Boosting...

We conclude this report with a system design and proof-of-concept to show how an adaptable hybrid sentiment classification system is able to improve sentiment analysis for organisations. GreenOnline, a service company in the field of customer services, wants to be able to quantify sentiment for organisations precisely, to create new services for organisations. To start with, this sentiment anal...

Nail diagnosis is a method to predict the possibilities of organ failures and various systemic diseases. abnormalities are considered as signs certain diseases in traditional medicines such Siddha Medicine, Ayurveda, Yunani Chinese medicine etc. In this paper, performance existing techniques SVM classifier KNN classifiers compared with proposed method. The metrics precision, recall, F-measure a...

To combine or not to combine? Though not a question of the same gravity as the Shakespeare’s to be or not to be, it is examined in this paper in the context of a hybrid neuro-fuzzy pattern classifier design process. A general fuzzy min-max neural network with its basic learning procedure is used within six different algorithm independent learning schemes. Various versions of cross-validation, r...

Five methods that generate multiple prototypes from labeled data are reviewed. Then we introduce a new sixth approach, which is a modification of Chang’s method. We compare the six methods with two standard classifier designs: the 1nearest prototype (1-np) and 1-nearest neighbor (1-nn) rules. The standard of comparison is the resubstitution error rate; the data used are the Iris data. Our modif...

Multi-layer perceptrons (MLP) make powerful classifiers that may provide superior performance compared with other classifiers, but are often criticized for the number of free parameters. Most commonly, parameters are set with the help of either a validation set or crossvalidation techniques, but there is no guarantee that a pseudo-test set is representative. Further difficulties with MLPs inclu...

We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Modeling (MEM), and a classifier based on our work on Data–Oriented Parsing (DOP). The hybrid behavior is achieved through a voting mechanism applied by an iterative tag–insertion algorithm. We have tested the method on a corpus of...

i n troduction: cancer is a major cause of mortality in the modern world, and one of the most important health problems in societies. during recent years, research on cancer as a system biology disease is focused on molecular differences between cancer cells and healthy cells. most of the proposed methods for classifying cancer using gene expression data act as black boxes and lack biological i...