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37 310 (0,154s)

Result

Robust LQ Optimal Control by Statistical Learning Theory

Not available...

BC - Teorie a systémy řízení

  • 2003
  • D
Result

Nonlinear Programming as an Approach to Artificial Neuron Learning.

Basic themes in document: neuron model; robust learning; pruning; constrained optimization; non-linear programming.

BB - Aplikovaná statistika, operační výzkum

  • 2000
  • D
Result

Improving Both Domain Robustness and Domain Adaptability in Machine Translation

(Robust Meta-Learning Framework for Neural Machine Translation Domain Adaptation), which improves the robustness of existing meta-learning models. More specificallyWe consider two problems of NMT domain adaptation...

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

  • 2022
  • O
  • Link
Result

Pruning Techniques and Nonlinear Programming.

Basic themes in document: neuron model; robust learning; pruning; LINGO; constrained optimization; non-linear programming.

BB - Aplikovaná statistika, operační výzkum

  • 2000
  • D
Result

An introduction to robust data analysis and its applications

papers explores the latest advancements in robust optimization, machine learningThis special issue of the Annals of Operations Research delves into the critical role of robust data analysis in addressing complex real-world...

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

  • 2024
  • Jost
  • Link
Result

Robust Bayesian Transfer Learning between Autoregressive Inference Tasks

Bayesian transfer learning typically relies on a complete stochastic dependence transfer learning paradigm which adopts Fully Probabilistic Design (FPD) to search, we propose an adaptation of the FPD framework which results in a

Applied mathematics

  • 2021
  • D
  • Link
Result

Robust Predictive Control by Statistical Learning Theory

Not available...

BC - Teorie a systémy řízení

  • 2001
  • D
Result

Learning Robust Features for Gait Recognition by Maximum Margin Criterion

Extended abstract. The full research paper "Learning Robust Features for Gait Recognition by Maximum Margin Criterion" has been accepted for publication at the 23rd IEEE/IAPR International Conference on Pattern Recognition (ICPR 201...

IN - Informatika

  • 2016
  • D
  • Link
Result

Minimum OCR Representation Using Pruning Techniques

learning to the constrained optimization task. The Matlab system is used for numeric experiments. The precious learning, the robust learning and the network pruning are used for OCR learning task....

JD - Využití počítačů, robotika a její aplikace

  • 2002
  • D
Result

Robust LQ Optimal Control by Statistical Learning Theory

The Monte Carlo approach is used in this paper to solve optimal control problem of an uncertain system - robust control problem. The Monte Carlo approach uses samples of unknown variables. This approach enables to solve the minimization prob...

BC - Teorie a systémy řízení

  • 2004
  • A
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