Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Abstract--This paper presents a dynamic predictiveoptimization framework of a nonlinear temporal process. Datamining (DM) and evolutionary strategy algorithms are integrated in the...
[1, 2] have shown for the dynamic spectrum allocation problem that a competitive market model (which sets a price for transmission power on each channel) leads to a greater social...
Symbolic execution is a powerful automated technique for generating test cases. Its goal is to achieve high coverage of software. One major obstacle in adopting the technique in pr...
In this work we introduce the dual frame operator relative to the aliasing compensated frequency warping operator for nonsmooth warping functions. Except for approximation errors,...