The finite sample properties of the Fourier estimator of integrated volatility under market microstructure noise are studied. Analytic expressions for the bias and the mean square...
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Differing views have been expressed on the appropriateness of the friend construct in the design and implementation of object-oriented software in C++. However, little empirical a...
Michael English, Jim Buckley, Tony Cahill, Kristia...
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
Requirements Evolution represents one of the major problems in developing computer-based systems. Current practice in Requirement Engineering relies on process-oriented methodologi...