Language-based information-flow security is concerned with specifying and enforcing security policies for information flow via language constructs. Although much progress has been made on understanding information flow in object-oriented programs, the impact of class initialization on information flow has been so far largely unexplored. This paper turns the spotlight on security implications of...

Despite all the progress in neural networks the technology is still brittle and sometimes difficult to apply. Automatic construction of networks and proper initialization of their adaptive parameters are the key factors to create robust neural networks. Methods of initialization of MLPs are reviewed and new methods based on statistical discriminants and logical rules are suggested. These method...

As nonnegative matrix factorization (NMF) represents a nonconvex problem, the quality of its solution will depend on the initialization of the factor matrices. This study proposes the Successive Projection Algorithm (SPA) as a feasible NMF initialization method. SPA is applied to a multi-parametric MRI dataset for automated NMF brain tumor segmentation. SPA provides fast and reproducible estima...

The multiple active contours (snakes) are widely used in image processing to extract objects of interest. However, initialization of the active contours is still an open problem. This paper proposes a new completely automatic initialization of snakes based on a combination of Phrase Portrait Analysis (PPA) image intensity clustering and multi-stage evolution of the active contours. The proposed...

The Initialization problem Is defined as the problem of obtaining the initial data that are required in order to solve a well posed initial-and-boundary-value problem for the equations of large scale dynamical meteorology. In our treatment of this problem complete knowledge at a given instant of the atmospheric temperature and surface-pressure fields, as well as of their time derivatives, is as...

To further improve the performance of artificial bee colony algorithm (ABC), a new hybrid ABC (HABC) for global optimization is proposed via exploring six initialization methods. Furthermore, to balance the exploration and exploitation abilities, a new search mechanism is also developed. The algorithms are applied to 27 benchmark functions with various dimensions to verify its performance. Nume...

The present paper investigates whether an ‘‘informed’’ initialization process can help supervised LCS algorithms evolve rulesets with better characteristics, including greater predictive accuracy, shorter training times, and/or more compact knowledge representations. Inspired by previous research suggesting that the initialization phase of evolutionary algorithms may have a considerable impact ...

The potential for climate predictability at seasonal time scales resides in information provided by the ocean initial conditions, in particular the upper thermal structure. Currently, several operational centres issue routine seasonal forecasts produced with coupled ocean-atmosphere models, requiring real-time knowledge of the state of the global ocean. Seasonal forecasting needs the calibratio...