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Generalization in Learning from Examples
It is shown that learning from examples with generalization can be modeled as a regularized inverse problem.
IN - Informatika
- 2007 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Learning from Examples. The Human and the Non-Human
) are intrinsically connected. The elusive nature of learning from examples – the difficulty of deciding whether learning has taken place – is illustrated using the example, etc.) that only with time assum...
Philosophy, History and Philosophy of science and technology
- 2023 •
- Jost •
- Link
Rok uplatnění
Jost - Ostatní články v recenzovaných periodicích
Výsledek na webu
Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses
We study reducibility of learning examples in the learning from entailment learned hypotheses are restricted to have bounded treewidth. We show that in such cases thereis a polynomial-time reduction algori...
JC - Počítačový hardware a software
- 2013 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Statistical formulation of structured output learning from partially annotated examples
for learning from partially annotated examples, two crucial problems remain open: 1) an exact statistical formulation of risk minimization based learning from partially annotated examples and 2) ...
JD - Využití počítačů, robotika a její aplikace
- 2013 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Interval Insensitive Loss for Ordinal Classification
classifiers learned from partially annotated examples can achieve accuracy close to the accuracyof classifiers learned from completely annotated examples.We address a problem of learning...
JD - Využití počítačů, robotika a její aplikace
- 2014 •
- D
Rok uplatnění
D - Stať ve sborníku
Graph convolutional networks for learning with few clean and many noisy labels
as a binary classifier, which learns to discriminate clean from noisy examples usingIn this work we consider the problem of learning a classifier from noisy labels when a few clean labeled examples
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
Comparison of Kernel Based Regularization Networks and RBF Networks
We discuss two approaches to the problem of learning from examples. They are RBF networks and regularization networks (RN). Performance of both approaches is demonstrated on experiments. We claim that the performance of RN ...
BA - Obecná matematika
- 2004 •
- D
Rok uplatnění
D - Stať ve sborníku
Learning Maximum Margin Markov Networks from examples with missing labels
Network (MN) classifier can be efficiently learned by the maximum margin method, which however requires expensive completely annotated examples. We extend the maximum margin algorithm for learning of unrestricted MN classi...
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
Supervised Learning with Generalization as an Inverse Problem
Capability of generalization in learning of neural networks from examples can be modelled using regularization, which has been developed as a tool for improving by integraloperators. It is shown that learning f...
BA - Obecná matematika
- 2005 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Learning Objects and some Applications of them
of learning object are introduced. Two examples are demonstrated. One from an European project CELEBRATE, the second from a national project Outcomes, resourcesThe aim of the paper is to show a learning a...
AM - Pedagogika a školství
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
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