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Semi-supervised learning using clustering, random forest and belief propagation
The main goal of the project is to find a method able to detect malicious network traffic using semi-supervised learning.
JD - Využití počítačů, robotika a její aplikace
- 2016 •
- Vsouhrn
Rok uplatnění
Vsouhrn - Souhrnná výzkumná zpráva
Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning
with supervised learning and kernel-based approaches with semi-supervised learning.
AE - Řízení, správa a administrativa
- 2009 •
- D
Rok uplatnění
D - Stať ve sborníku
Credit rating modelling by kernel-based approaches with supervised and semi-supervised learning
with supervised learning as well as kernel-based approaches with semi-supervised learning-based approaches with both supervised and semi-supervised learning....
IN - Informatika
- 2011 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Semi-Supervised Training of Language Model on Spanish Conversational Telephone Speech Data
This article is about semi-supervised training of language model on Spanish conversational telephone speech data.
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Usage of self-organizing neural networks in evaluation of consumer behaviour
the self-organizing neural network. On base of comparison of supervised learning, unsupervised learning and semi-supervised learning and their binding conditions there is pointed out an advantage...
IN - Informatika
- 2010 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Semantics-Based Document Categorization Employing Semi-Supervised Learning
a method based on semi-supervised learning when a smallish set of manually labeled, unsupervised, and semi-supervised learning. The results are shown for different number, a suitable supervis...
IN - Informatika
- 2015 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Semantics-Based Document Categorization Employing Semi-Supervised Learning
a method based on semi-supervised learning when a smallish set of manually labeled, unsupervised, and semi-supervised learning. The results are shown for different number, a suitable supervis...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- C •
- Link
Rok uplatnění
C - Kapitola v odborné knize
Výsledek na webu
A new semi-supervised method improving optical flow on distant domains
We propose a semi-supervised approach to learning by formulating the optimization as constrained gradient descent on a loss function that includes unsupervised terms. The method is demonstrated on semi-supervis...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2020 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Semi-supervised Learning in Camera Surveillance Image Classification
problem, due to the lack of high-quality labeled data. In the field of deep learning the semi-supervised learning paradigm provides a possible answer to this problem. We propose a novel semi-supervise...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2021 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Deep Bayesian Semi-Supervised Active Learning for Sequence Labelling
introduce a combination of active and semi-supervised learning for sequence labelling and Monte Carlo N-best sequence entropy strategies. Furthermore, we use semi-supervised other existing techniques for ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2019 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
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