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51 223 (0,159s)

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A Priori and A Posteriori Machine Learning and Nonlinear Artificial Neural Networks

The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it ``a priori'' because how posterior machine learning

JD - Využití počítačů, robotika a její aplikace

  • 2010
  • Jx
Result

Machine Learning and Data Mining

This chapter describes basic principles of machine learning and data mining. Main focus will be on the empirical concept learning from data. We will review the most popular machine learning methods. Finall...

IN - Informatika

  • 2011
  • C
Result

Exploring zero-day attacks on machine learning and deep learning algorithms

Main topics of the document: Zero-Day attacks; machine learning; deep learning; security; models...

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

  • 2024
  • D
  • Link
Result

Multimethod machine learning approach for medical diagnosing

Multimethod machine learning approach for medical diagnosing...

JD - Využití počítačů, robotika a její aplikace

  • 2003
  • D
Result

Machine Learning.

The paper deals with successes and (mainly) paradoxes of current machine learning. It briefly analysis these paradoxes. One of them is the lack of integration machine learning into the whole knowledge system. Just ...

BC - Teorie a systémy řízení

  • 2001
  • Jx
Result

Analysis of state-of-the art solutions in machine learning with special emphasis on deep learning

The goal of the analysis is to provide a complex set of information relevant for application of machine learning and deep learning in automotive industry....

Automation and control systems

  • 2017
  • Vsouhrn
Result

Explainable and interpretable machine learning and data mining

Main topics of the document: artificial intelligence; machine learning; interpretability...

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

  • 2024
  • Jimp
  • Link
Result

Hitoshi Iba: Evolutionary approach to machine learning and deep neural networks: neuro-evolution and gene regulatory networks (review)

The book’s title promises an evolutionary approach to machine learning and deep neural networks. In fact, it covers both an evolutionary approach to machine learning and machine learning approach ...

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

  • 2019
  • O
Result

Reliable Machine Learning for Networking: Key Issues and Approaches

Machine learning has become one of the go-to methods for solving problems networks and the commodification of machine learning frameworks. While this makes it easier for researchers to implement and deploy mach...

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

  • 2017
  • D
  • Link
Result

Adaptive features of machine learning methods.

This paper gives a survey of (symbolic) machine learning methods, that exhibit significant features of adaptivity. The paper discussed incremental learning, learning in dynamically changing domains, knowledge integ...

JD - Využití počítačů, robotika a její aplikace

  • 2002
  • D
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