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10 593 (0,116s)

Result

A tail bound for read-k families of functions

We prove a Chernoff-like large deviation bound on the sum of read-k non-independent random variables.

BA - Obecná matematika

  • 2015
  • Jx
  • Link
Result

Probabilistic Lower Bounds for Approximation by Shallow Perceptron Networks

Limitations of approximation capabilities of shallow perceptron networks are investigated. Lower bounds on approximation errors are derived for binary-valued functions on a given domain. The results are obtained by combining probabilistic

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • Jimp
  • Link
Result

Classification by Sparse Neural Networks

of computational units. Bounds on these norms are proven using the Chernoff–Hoeffding bound...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • Jimp
  • Link
Result

Model Complexities of Shallow Networks Representing Highly Varying Functions

of variational norms combined with the probabilistic Chernoff Bound. It is shown that almostModel complexities of shallow (i.e., one-hidden-layer) networks representing highly varying multivariable {-1,1}{-1,1}-valued functions are...

IN - Informatika

  • 2016
  • Jx
  • Link
Result

Probabilistic Bounds on Complexity of Networks Computing Binary Classification Tasks

of computational units. Probabilistic lower bounds on these norms are derived using the Chernoff-Hoeffding Bound on sums of independent random variables, which need......

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Symbols

R package Symbols implements various symbol plots (bars, profiles, stars, Chernoff faces, color icons, stick figures).

BB - Aplikovaná statistika, operační výzkum

  • 2009
  • R
Result

Large deviations of divergence measures on partitions.

We discuss Chernoff-type large deviation results for the total variation, the I-divergence errors, and the chi-square-divergence errors on partitions. In contrast to the total variation and the I-divergence, the chi-square-divergence has an ...

BB - Aplikovaná statistika, operační výzkum

  • 2001
  • Jx
Result

Design of a Robust Fusion of Probability Densities

The paper deals with the fusion of probability densities. A selection of the weights of the weighted geometric mean of densities is justified, as well as the selection of the geometric mean itself, from a more general perspective. It is shown that th...

Automation and control systems

  • 2015
  • D
  • Link
Result

PROLEMus: A Proactive Learning-Based MAC Protocol Against PUEA and SSDF Attacks in Energy Constrained Cognitive Radio Networks

Malicious users can exploit vulnerabilities in Cognitive Radio Networks (CRNs) and cause heavy performance degradation by Denial of Service (DoS) attacks. During operation, Cognitive Radios (CRs) spend a considerable amount of time to identify idle (...

Computer and information sciences

  • 2019
  • Jimp
  • Link
Result

Tolerance bounds

Tolerance bounds are lower or upper confidence bounds on percentiles of a population, here assumed to be normal. The discussion will mainly focus on lower con_dence bounds....

BA - Obecná matematika

  • 2008
  • R
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