A Note on the Selection Expectation and Support Function

A Random Forest Classifier based on Genetic Algorithm for Cardiovascular Diseases Diagnosis (RESEARCH NOTE)

Machine learning-based classification techniques provide support for the decision making process in the field of healthcare, especially in disease diagnosis, prognosis and screening. Healthcare datasets are voluminous in nature and their high dimensionality problem comprises in terms of slower learning rate and higher computational cost. Feature selection is expected to deal with the high dimen...

On Polar Cones and Differentiability in Reflexive Banach Spaces

Let $X$ be a  Banach  space, $Csubset X$  be  a  closed  convex  set  included  in  a well-based cone $K$, and also let $sigma_C$ be the support function which is defined on $C$. In this note, we first study the existence of a  bounded base for the cone $K$, then using the obtained results, we find some geometric conditions for the set  $C$,  so that ${mathop{rm int}}(mathrm{dom} sigma_C) neqem...

A Comprehensive Model for R and D Project Portfolio Selection with Zero-One Linear Goal-Programming (RESEARCH NOTE)

Technology centered organizations must be able to identify promising new products or process improvements at an early stage so that the necessary resources can be allocated to those activities. It is essential to invest in targeted research and development (R and D) projects as opposed to a wide range of ideas so that resources can be focused on successful outcomes. The selection of the most ap...

Predicting Customer-Expectation-Based Warranty Cost for Smaller-the- Better and Larger-the-Better Performance Characteristics

The quality loss function assumes a fixed target and only accounts for immediate issues within manufacturing facilities whereas warranty loss occurs during customer use. Based on the two independent variables, product performance and consumers’ expectation, a methodology to predict the probability of customer complaint is presented in this paper. The formulation presented will serve as a basic ...

A Note on Weighted Composition Operators on L^p-Spaces