Kernel methodsquantum information theoryWe consider the analysis of probability distributions through their associated covariance operators from reproducing kernel Hilbert spaces. We show that the von Neumann entropy and relative entropy of these operators are intimately related to the usual notions of ...
marquee seller site. We explain these effects using theory in multihoming and involvement, in terms of how reference prices are set. Our work extends the platforms literature by considering the specific influence of a marquee ...
By applying a graph- and information-theory approach to assess information-related pathways in male mouse, macaque and human brains, we show a brain communication gap between selective information transmission in non-human mammals, where brain regions share information through single polysynaptic pathways...
Information theory has been employed by many filter feature selection methods. Information Gain (IG) (Guyon & Elisseeff, 2003) is the simplest of these methods. It is classified as a univariate feature selection method, as it ranks features based on the value of their mutual information with ...
Kernel methods in machine learning Kernel methods are a powerful tool in machine learning. It uses a distance measure of two inputs defined as a kernel,\(k:{{\mathbb{R}}}^{{D}_{{\rm{f}}}\times {{\mathbb{R}}}^{{D}_{{\rm{f}}}\to {\mathbb{R}}\). For example, a kernel...
In: Proceedings of the forty-third annual ACM symposium on Theory of computing, ACM, 2011, 333–42 (2011) Krovi, H.: Models of optical quantum computing. Nanophotonics (2017). https://doi.org/10.1515/nanoph-2016-0136 Article Google Scholar Rohde, P.P., Ralph, T.C.: Error models ...
Quantum theory, or quantum mechanics, is the theoretical basis of modern physics that explains the nature and behavior of matter and energy on the subatomic level. Continue Reading By Gavin Wright News 19 Dec 2024 Getty Images VMware by Broadcom changes to continue in 2025 After a year ...
Various studies use the game theory approach for implementing collaborative IDS. For instance, a randomized, non-deterministic, and game theory approach is used in [90] for IDS in collaborative peer-to-peer networks to reduce the possibility of successful attacks. The study in [91] employs ...
Cite this chapter Information Theory and Statistical Learning Jinjie Huang& Panxiang Rong 4454Accesses Feature selection aims to reduce the dimensionality of patterns for clas-sificatory analysis by selecting the most informative rather than irrelevant and/or redundant features. In this study, a hybrid...
Interestingly the number of these species is relatively small and it confirms results of other studies (see39, 54,55,56,57) showing that the number of species with weak interactions is much larger. Theory suggests that this pattern promotes stability as weak interactors dampen the destabilizing ...