Optimised Feature Subset Selection via Simulated Annealing
Fuente:
arXiv
Saved in:
| Main Authors: | Martínez-García, Fernando, Rubio-García, Álvaro, Fernández-Lorenzo, Samuel, García-Ripoll, Juan José, Porras, Diego |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Problem hardness of diluted Ising models: Population Annealing versus Simulated Annealing
by: Martínez-García, Fernando, et al.
Published: (2025)
by: Martínez-García, Fernando, et al.
Published: (2025)
Universal Resources for QAOA and Quantum Annealing
by: Díez-Valle, Pablo, et al.
Published: (2025)
by: Díez-Valle, Pablo, et al.
Published: (2025)
Learning Generalized Statistical Mechanics with Matrix Product States
by: Díez-Valle, Pablo, et al.
Published: (2024)
by: Díez-Valle, Pablo, et al.
Published: (2024)
Factorization Machine with Quadratic-Optimization Annealing for RNA Inverse Folding and Evaluation of Binary-Integer Encoding and Nucleotide Assignment
by: Kikuchi, Shuta, et al.
Published: (2026)
by: Kikuchi, Shuta, et al.
Published: (2026)
Population Annealing as a Discrete-Time Schrödinger Bridge
by: Ohzeki, Masayuki
Published: (2026)
by: Ohzeki, Masayuki
Published: (2026)
Multi-Mode Quantum Annealing for Generative Representation Learning with Boltzmann Priors
by: Kim, Gilhan, et al.
Published: (2026)
by: Kim, Gilhan, et al.
Published: (2026)
Selecting Optimal Variable Order in Autoregressive Ising Models
by: Biswal, Shiba, et al.
Published: (2026)
by: Biswal, Shiba, et al.
Published: (2026)
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks
by: Székely, Eszter, et al.
Published: (2023)
by: Székely, Eszter, et al.
Published: (2023)
Sliding down the stairs: how correlated latent variables accelerate learning with neural networks
by: Bardone, Lorenzo, et al.
Published: (2024)
by: Bardone, Lorenzo, et al.
Published: (2024)
Variational Neural Annealing
by: Hibat-Allah, Mohamed, et al.
Published: (2021)
by: Hibat-Allah, Mohamed, et al.
Published: (2021)
$α$-divergence Improves the Entropy Production Estimation via Machine Learning
by: Kwon, Euijoon, et al.
Published: (2023)
by: Kwon, Euijoon, et al.
Published: (2023)
Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
by: Gillman, Edward, et al.
Published: (2022)
by: Gillman, Edward, et al.
Published: (2022)
Composing diffusion priors with explicit physical context via generative Gibbs sampling
by: Wang, Weizhou, et al.
Published: (2026)
by: Wang, Weizhou, et al.
Published: (2026)
Efficient Identification of Critical Transitions via Flow Matching: A Scalable Generative Approach for Many-Body Systems
by: Lee, Qian-Rui, et al.
Published: (2025)
by: Lee, Qian-Rui, et al.
Published: (2025)
Improving FMQA via Initial Training Data Design Considering Marginal Bit Coverage in One-Hot Encoding
by: Hayashi, Taiga, et al.
Published: (2026)
by: Hayashi, Taiga, et al.
Published: (2026)
Exact Fractional Inference via Re-Parametrization & Interpolation between Tree-Re-Weighted- and Belief Propagation- Algorithms
by: Behjoo, Hamidreza, et al.
Published: (2023)
by: Behjoo, Hamidreza, et al.
Published: (2023)
A new pathway to generative artificial intelligence by minimizing the maximum entropy
by: Miotto, Mattia, et al.
Published: (2025)
by: Miotto, Mattia, et al.
Published: (2025)
Capturing the Topological Phase Transition and Thermodynamics of the 2D XY Model via Manifold-Aware Score-Based Generative Modeling
by: Jha, Pratyush
Published: (2026)
by: Jha, Pratyush
Published: (2026)
A differentiable programming framework for spin models
by: Farias, Tiago de Souza, et al.
Published: (2023)
by: Farias, Tiago de Souza, et al.
Published: (2023)
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
by: Ricci, Fabiola, et al.
Published: (2025)
by: Ricci, Fabiola, et al.
Published: (2025)
Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations
by: Christiansen, Henrik, et al.
Published: (2025)
by: Christiansen, Henrik, et al.
Published: (2025)
Thermodynamic Bayesian Inference
by: Aifer, Maxwell, et al.
Published: (2024)
by: Aifer, Maxwell, et al.
Published: (2024)
Simulated Annealing for Quadratic and Higher-Order Unconstrained Integer Optimization
by: Suzuki, Kohei
Published: (2025)
by: Suzuki, Kohei
Published: (2025)
Statistics of Min-max Normalized Eigenvalues in Random Matrices
by: Nakada, Hyakka, et al.
Published: (2025)
by: Nakada, Hyakka, et al.
Published: (2025)
Laws of thermodynamics for exponential families
by: Balsubramani, Akshay
Published: (2025)
by: Balsubramani, Akshay
Published: (2025)
Susceptibilities and Patterning: A Primer on Linear Response in Bayesian Learning
by: Elliott, Chris, et al.
Published: (2026)
by: Elliott, Chris, et al.
Published: (2026)
Review and Prospect of Algebraic Research in Equivalent Framework between Statistical Mechanics and Machine Learning Theory
by: Watanabe, Sumio
Published: (2024)
by: Watanabe, Sumio
Published: (2024)
Scalable Boltzmann Generators for equilibrium sampling of large-scale materials
by: Schebek, Maximilian, et al.
Published: (2025)
by: Schebek, Maximilian, et al.
Published: (2025)
Emergence of Nonequilibrium Latent Cycles in Unsupervised Generative Modeling
by: Baiesi, Marco, et al.
Published: (2025)
by: Baiesi, Marco, et al.
Published: (2025)
Machine Learning H-theorem
by: Lier, Ruben
Published: (2025)
by: Lier, Ruben
Published: (2025)
Landscape Complexity for the Empirical Risk of Generalized Linear Models: Discrimination between Structured Data
by: Tsironis, Theodoros G., et al.
Published: (2025)
by: Tsironis, Theodoros G., et al.
Published: (2025)
Dynamical symmetries in the fluctuation-driven regime: an application of Noether's theorem to noisy dynamical systems
by: Vastola, John J.
Published: (2025)
by: Vastola, John J.
Published: (2025)
Plastic tensor networks for interpretable generative modeling
by: Akamatsu, Katsuya O., et al.
Published: (2025)
by: Akamatsu, Katsuya O., et al.
Published: (2025)
Building causation links in stochastic nonlinear systems from data
by: Chibbaro, Sergio, et al.
Published: (2025)
by: Chibbaro, Sergio, et al.
Published: (2025)
SETOL: A Semi-Empirical Theory of (Deep) Learning
by: Martin, Charles H, et al.
Published: (2025)
by: Martin, Charles H, et al.
Published: (2025)
Training thermodynamic computers by gradient descent
by: Whitelam, Stephen
Published: (2025)
by: Whitelam, Stephen
Published: (2025)
Information maximization for a broad variety of multi-armed bandit games
by: Barbier-Chebbah, Alex, et al.
Published: (2025)
by: Barbier-Chebbah, Alex, et al.
Published: (2025)
Identifying Ising and percolation phase transitions based on KAN method
by: Xu, Dian, et al.
Published: (2025)
by: Xu, Dian, et al.
Published: (2025)
High-entropy Advantage in Neural Networks' Generalizability
by: Yang, Entao, et al.
Published: (2025)
by: Yang, Entao, et al.
Published: (2025)
Optimal Computation from Fluctuation Responses
by: Lyu, Jinghao, et al.
Published: (2025)
by: Lyu, Jinghao, et al.
Published: (2025)
Similar Items
-
Problem hardness of diluted Ising models: Population Annealing versus Simulated Annealing
by: Martínez-García, Fernando, et al.
Published: (2025) -
Universal Resources for QAOA and Quantum Annealing
by: Díez-Valle, Pablo, et al.
Published: (2025) -
Learning Generalized Statistical Mechanics with Matrix Product States
by: Díez-Valle, Pablo, et al.
Published: (2024) -
Factorization Machine with Quadratic-Optimization Annealing for RNA Inverse Folding and Evaluation of Binary-Integer Encoding and Nucleotide Assignment
by: Kikuchi, Shuta, et al.
Published: (2026) -
Population Annealing as a Discrete-Time Schrödinger Bridge
by: Ohzeki, Masayuki
Published: (2026)