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Results

34 042 results (0,293s)

Result

Comments on 'Convergence Analysis of Adaptive Exponential Functional Link Network'

This article is to comment on the derivation of the weight-update stability of in-parameter-linear nonlinear learning system with the gradient descent learning rule in the above article. Our comments are not to dis...

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

  • 2023
  • Jimp
  • Link
Result

Adaptive polynomial filters with individual learning rates for computationally efficient lung tumor motion prediction

filters with multiple-learning-rate gradient descent for 3-D lung tumor motion prediction. The method is compared with single-learning rate gradient descent approaches with and without learni...

BC - Teorie a systémy řízení

  • 2015
  • D
  • Link
Result

A harmony search based gradient descent learning-FLANN (HS-GDL-FLANN) for classification

, an attempt is made to design a hybrid FLANN with Harmony Search based Gradient Descent Learning for classification. The proposed algorithm has been compared with FLANN, GA datasets from UCI machine learning repos...

IN - Informatika

  • 2015
  • D
  • Link
Result

Learning Entropy for Novelty Detection: A Cognitive Approach for Adaptive Filters

This paper recalls the practical calculation of Learning Entropy (LE) for novelty detection, extends it for various gradient techniques and discusses its use in time series via supervised incremental learning of polynomial ...

BC - Teorie a systémy řízení

  • 2014
  • D
  • Link
Result

Learning bipartite Bayesian networks under monotonicity restrictions

conditions: the proposed gradient descent, isotonic regression EM, and non-linear optimization. We also provide results of unrestricted EM and gradient descent methodsLearning parameters of a probabilisti...

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

  • 2020
  • Jimp
  • Link
Result

Fuzzy transform from a neural network point of view

The paper deals with the F-transform technique. In the terminology of neural networks, the F-transform uses so called off-line (batch) learning. However, for certain applications an on-line (incremental) learning algorithm has to be...

BA - Obecná matematika

  • 2006
  • A
Result

Fuzzy transform from a neural network point of view

The paper deals with the F-transform technique. In the terminology of neural networks, the F-transform uses so called off-line (batch) learning. However, for certain applications an on-line (incremental) learning algorithm has to be...

BA - Obecná matematika

  • 2006
  • D
Result

A Bi-level Individualized Adaptive Learning Recommendation System Based on Topic Modeling

system with topic models, gradient descent, and a content-based filtering algorithm. In the first level, the learning materials were analyzed by a topic model, and topic strategy component which employ gradient

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

  • 2022
  • D
  • Link
Result

Tensor Decomposition-Based Training Method for High-Order Hidden Markov Models

build higher-order models with the use of stochastic gradient descent. BasedHidden Markov models (HMMs) are one of the most widely used unsupervised-learning algorithms for modeling discrete sequential data. Traditionally,...

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

  • 2021
  • D
  • Link
Result

Operator-designed Nonstandard Continuous Descent Final Approaches (CDFA)

This article discusses the use of an operator-designed final approach descent profile aimed at fuel consumption and noise reduction due to the use of nonstandard descent gradients adequate to individual aircraft type perfor...

JU - Aeronautika, aerodynamika, letadla

  • 2012
  • D
  • Link
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