Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
—In this paper, we investigate the transmission-power assignment problem for k-connected mobile ad hoc networks (MANETs), the problem of optimizing the lifetime of a MANET at a g...
Oliviero Riganelli, Radu Grosu, Samir R. Das, C. R...
- This paper presents a neurologically inspired vergence control model that uses the optimization of the disparity error between interlaced cortical maps incident on the visual cor...
— Using the classical Parzen window estimate as the target function, the kernel density estimation is formulated as a regression problem and the orthogonal forward regression tec...