Linear Discriminant Analysis (LDA) is a well-known method for dimensionality reduction and classification. LDA in the binaryclass case has been shown to be equivalent to linear re...
In empirical studies of Evolutionary Algorithms, it is usually desirable to evaluate and compare algorithms using as many different parameter settings and test problems as possible...
In this paper, we define and study a new opinionated text data analysis problem called Latent Aspect Rating Analysis (LARA), which aims at analyzing opinions expressed about an e...
Abstract--Real-time embedded systems (RTESs) are becoming increasingly ubiquitous, controlling a wide variety of popular and safety-critical devices. Effective testing techniques c...
Software-testing researchers have long sought recipes for test suites that detect faults well. In the literature, empirical studies of testing techniques abound, yet the ideal tec...