AN EFFICIENT UNIFORM GENE SELECTION FOR MICRO ARRAY DATA VIA HYBRID WEIGHTING 1 G. Baskar, 2 Dr.P.Ponmuthuramalingam 1 PhD Research Scholar, 2 Associate Professor & Head Department of Computer Science Government Arts College (Autonomous) Coimbatore, Tamil Nadu, INDIA _____________________________________________________________ Abstract:Feature Selection is a common standard method used for gen...

In Machine Learning Process, several issues arise in identifying a suitable and quality set of features from which a classification model for a particular domain to be constructed. This paper addresses the problem of feature selection for machine learning through discretization approach. RELIEF is considered to be one of the most successful algorithms for assessing the quality of features. RELI...

In this paper, we propose an application of the Analytic Hierarchy Process to survey research to overcome the deficiency of traditional questionnaire methods. The procedure of the AHP results in not only the identification of the most important alternative but also the preference of all alternatives for each respondent. Therefore, by applying the AHP to survey questionnaire, eliciting responden...

The clustering of related words is crucial for a variety of Natural Language Processing applications. Many known techniques of word clustering use the context of a word to determine its meaning. Words which frequently appear in similar contexts are assumed to have similar meanings. Word clustering usually applies the weighting of contexts, based on some measure of their importance. One of the m...

Most of the traditional recommendation algorithms are based on TF-IDF, a term-based weighting method. This paper proposes a new method for recommending news items based on the weighting of the occurrences of references to concepts, which we call Concept Frequency-Inverse Document Frequency (CFIDF). In an experimental setup we apply CF-IDF to a set of newswires in which we detect 1, 167 instance...

This paper presents an image quality enhancement of computational integral imaging reconstruction (CIIR) method by using a binary weighting mask on occlusion areas in elemental images. The proposed method utilizes a block-matching algorithm to estimate the occlusion areas in elemental images. Then, a binary weighting mask generated from the estimated occlusion area is applied to our CIIR method...

Approaches for solving the timing-driven placement problem have traditionally been either net-based or path-based; see, e.g., [7] for an overview. Net weighting methods, which fall in the latter category, have been a popular tool in analytical placers [16, 8, 9] for handling timing-driven placement. They enjoy a number of advantages, including very low computational complexity, high flexibility...

In this note, the connection between the correction and weighting functions for the correction procedure via reconstruction (CPR) method in 1D is addressed. A one-parameter family of weighting functions is constructed from the discontinuous test space. It is found that if the solution polynomials lie in the space P k , then the first k weighting functions can always be chosen as the basis of th...

An algorithm is developed for real-time estimation of the cross-sectional average velocity of a channel flow by using an upwardlooking pulsed wave acoustic Doppler velocity meters (ADVM). The Velocity Contour Weighting Method (VCWM) is applicable to gradu­ ally varied flows in prismatic channels and requires little to no calibration. VCWM estimates the average velocity as a weighted average of ...

For the purpose of a product design or a project in general, weighting a set of comparable criteria has been proven to be of utmost importance (e.g. weighting product functions in value analysis VA -, and allocating a budget in a Design-ToCost project). Moreover the weighting problem is related to basic properties in the field of Multi-Criteria Decision Analysis (MCDA) through the notions of or...