The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
In this paper, we propose to apply sparse canonical correlation analysis (sparse CCA) to an important genome-wide association study problem, eQTL mapping. Existing sparse CCA mode...
Impact analysis is a specialized process of program comprehension that investigates the nature and extent of a planned software change. Traditionally, impact analysis inspects dep...
Data Flow Analysis as expressed by Monotone Frameworks is often associated with classical imperative programming languages and has played a crucial role in the efficient implementa...
Although in most cases class initialization works as expected, some static fields may be read before being initialized, despite being initialized in their corresponding class init...