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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 method...
IN - Informatika
- 2011 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Model Complexity in Learning from High-Dimensional Data
Model complexity in learning from high dimensional data is estimated using methods of approximation and integration theory.
IN - Informatika
- 2008 •
- D
Rok uplatnění
D - Stať ve sborníku
Lessons Learned from Data Mining Challenges
Main topics of the document: data mining; machine learning; classification; prediction...
IN - Informatika
- 2014 •
- Jx •
- Link
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Výsledek na webu
Asymmetric Heterogeneous Transfer Learning: A Survey
learning considers the same task solved using data from different feature spacesOne of the main prerequisites in most machine learning and data mining tasks is that all available data originates ...
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Learning from Data as an Optimization Task.
An approximate version of the Representer Theorem is investigated.
BA - Obecná matematika
- 2003 •
- D
Rok uplatnění
D - Stať ve sborníku
Distributed Data Mining and Data Warehouse
This article describes distributed data mining in data warehouse, what distribution data mining is and why distributed data mining is interesting, the problem of learning from distributed data...
JC - Počítačový hardware a software
- 2005 •
- D
Rok uplatnění
D - Stať ve sborníku
Lifelong learning in conditions of secondary schools and universities
A paper focus on intergenerational learning in the family, specifically generation of grandparents. Research is inteterested in specifics of intergenerational learning of grandparents -- an envinroment, a direct and aspects. Mix met...
AM - Pedagogika a školství
- 2013 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis
and online network monitoring: (i) how to dynamically learn from and adapt to non of labeled data to continuous lytune a supervised-learning model. We introduce ADAM & RAL models to changes in the input data
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2021 •
- Jimp •
- Link
Rok uplatnění
Jimp - Článek v periodiku v databázi Web of Science
Výsledek na webu
Inverse Problems in Learning from Data
Reformulation of minimization of error functionals as inverse problesm allows us to characterize optimal solutions of learning tasks and to model generalization in terms of stability imposed upon solutions by regularization....
IN - Informatika
- 2006 •
- D
Rok uplatnění
D - Stať ve sborníku
Learning Analytics And Data Mining In E-Learning
The paper presents and reviews two emerging interdisciplinary research fields known as Educational Data Mining (EDM) and Learning Analytics (LA). The paper some of methods used in EDM and LA for exploring the unique types of dat...
AM - Pedagogika a školství
- 2013 •
- O
Rok uplatnění
O - Ostatní výsledky
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