Randomization and entropy in machine learning and data processing
From MaRDI portal
Publication:2171640
DOI10.1134/S1064562422030073OpenAlexW4289883777MaRDI QIDQ2171640
Publication date: 9 September 2022
Published in: Doklady Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1134/s1064562422030073
entropyclassificationclusteringrandomizationbalance equationsmachine learningdata processingestimates of conditional maximum entropygeneration of random ensemblesparametrization of models
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Data mining. Concepts and techniques
- Experimental comparison fo cluster analysis of algorithms
- On calibration error of randomized forecasting algorithms
- Renyi entropy as a statistical entropy for complex systems
- Papers on probability, statistics and statistical physics. Ed. by R. D. Rosenkrantz.
- Entropy dimension reduction method for randomized machine learning problems
- Principal component analysis.
- Macrosystems theory and its applications. Equilibrium models
- Asymptotic efficiency of maximum entropy estimates
- Randomized algorithms for analysis and control of uncertain systems. With applications
- Cross-entropy optimal dimensionality reduction with a condition on information capacity
- Principle component analysis: robust versions
- New class of multiplicative algorithms for solving of entropy-linear programs
- Minimum-Relative-Entropy Calibration of Asset-Pricing Models
- Information Theory and Statistical Mechanics
- Extensions of Lipschitz mappings into a Hilbert space
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- Probability Theory
- Neural Networks and Deep Learning
- Gibbs vs Boltzmann Entropies
- Good Randomized Sequential Probability Forecasting is Always Possible
- On Information and Sufficiency
- Randomized algorithms for robust controller synthesis using statistical learning theory
- On clustering validation techniques
- Extremely randomized neural networks for constructing prediction intervals
This page was built for publication: Randomization and entropy in machine learning and data processing