Výsledky vyhledávání

Report

Autor: Akritas, Alkiviadis, Malaschonok, Gennadi

Publikováno v: Computational Science - ICCS 2006: 6th Int. Conf., UK, May 28-31, 2006. Proc., Part II, LNCS 3992, Springer Berlin, 486-489

The best method for computing the adjoint matrix of an order $n$ matrix in an arbitrary commutative ring requires $O(n^{\beta+1/3}\log n \log \log n)$ operations, provided the complexity of the algorithm for multiplying two matrices is $\gamma n^\bet

Externí odkaz: http://arxiv.org/abs/1711.09450

Zobrazit plný text záznamu

Akademický článek

Querying knowledge graphs through positive and negative examples and feedback.

Autor: Akritidis, Akritas, Tzitzikas, Yannis

Publikováno v: Journal of Intelligent Information Systems; Oct2024, Vol. 62 Issue 5, p1165-1186, 22p

Zobrazit plný text záznamu

Report

Significance Testing and Group Variable Selection

Autor: Zambom, Adriano Zanin, Akritas, Michael G.

Let X; Z be r and s-dimensional covariates, respectively, used to model the response variable Y as Y = m(X;Z) + \sigma(X;Z)\epsilon. We develop an ANOVA-type test for the null hypothesis that Z has no influence on the regression function, based on re

Externí odkaz: http://arxiv.org/abs/1205.6843

Zobrazit plný text záznamu

Report

Nonparametric Model Checking and Variable Selection

Autor: Zambom, Adriano Zanin, Akritas, Michael

Let X be a d dimensional vector of covariates and Y be the response variable. Under the nonparametric model Y = m(X) + {\sigma}(X) \in we develop an ANOVA-type test for the null hypothesis that a particular coordinate of X has no influence on the reg

Externí odkaz: http://arxiv.org/abs/1205.6761

Zobrazit plný text záznamu

Report

Order thresholding

Autor: Kim, Min Hee, Akritas, Michael G.

Publikováno v: Annals of Statistics 2010, Vol. 38, No. 4, 2314-2350

A new thresholding method, based on L-statistics and called order thresholding, is proposed as a technique for improving the power when testing against high-dimensional alternatives. The new method allows great flexibility in the choice of the thresh

Externí odkaz: http://arxiv.org/abs/1010.4123

Zobrazit plný text záznamu

Report

Coarse graining: lessons from simple examples

Autor: Akritas, P., Antoniou, I., Yarevsky, E.

We assess Coarse Graining by studying different partitions of the phase space of the Baker transformation and the periodic torus automorphisms. It turns out that the shape of autocorrelation functions for the Baker transformation is more or less repr

Externí odkaz: http://arxiv.org/abs/physics/0101077

Zobrazit plný text záznamu