Copertina

A new computationally efficient algorithm to solve Feature Selection for Functional Data Classification in high-dimensional spaces

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Boschi, Tobia, Bonin, Francesca, Ordonez-Hurtado, Rodrigo, Pascale, Alessandra, Epperlein, Jonathan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Functional Graph Convolutional Networks: A unified multi-task and multi-modal learning framework to facilitate health and social-care insights
di: Boschi, Tobia, et al.
Pubblicazione: (2024)

FAStEN: An Efficient Adaptive Method for Feature Selection and Estimation in High-Dimensional Functional Regressions
di: Boschi, Tobia, et al.
Pubblicazione: (2023)

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation
di: Rousseau, Cécile, et al.
Pubblicazione: (2025)

Contrasting pre-vaccine COVID-19 waves in Italy through Functional Data Analysis
di: Boschi, Tobia, et al.
Pubblicazione: (2023)

TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
di: Boschi, Tobia, et al.
Pubblicazione: (2026)

Doubly-Robust Functional Average Treatment Effect Estimation
di: Testa, Lorenzo, et al.
Pubblicazione: (2025)

Deep learning algorithms for solving high dimensional nonlinear backward stochastic differential equations
di: Kapllani, Lorenc, et al.
Pubblicazione: (2020)

Resource Allocation with Population Dynamics
di: Epperlein, Jonathan, et al.
Pubblicazione: (2016)

Lower Bounds for the Shadiness Constant of Finite-Dimensional Normed Spaces
di: Epperlein, Jeremias
Pubblicazione: (2025)

Eventual Conjugacy of Free Inert $G$-SFTs
di: Epperlein, Jeremias
Pubblicazione: (2023)

Deep Neural networks for solving high-dimensional parabolic partial differential equations
di: Zhang, Wenzhong, et al.
Pubblicazione: (2026)

Rapid optimization in high dimensional space by deep kernel learning augmented genetic algorithms
di: Valleti, Mani, et al.
Pubblicazione: (2024)

Generating Heterogeneous Multi-dimensional Data : A Comparative Study
di: Corbeau, Michael, et al.
Pubblicazione: (2025)

A forward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
di: Kapllani, Lorenc, et al.
Pubblicazione: (2024)

A backward differential deep learning-based algorithm for solving high-dimensional nonlinear backward stochastic differential equations
di: Kapllani, Lorenc, et al.
Pubblicazione: (2024)

Improving sample efficiency of high dimensional Bayesian optimization with MCMC
di: Yi, Zeji, et al.
Pubblicazione: (2024)

A Contrast Based Feature Selection Algorithm for High-dimensional Data set in Machine Learning
di: Cao, Chunxu, et al.
Pubblicazione: (2024)

On Evaluation of Unsupervised Feature Selection for Pattern Classification
di: Kim, Gyu-Il, et al.
Pubblicazione: (2026)

Reproduction of IVFS algorithm for high-dimensional topology preservation feature selection
di: Wang, Zihan
Pubblicazione: (2024)

Sailing in high-dimensional spaces: Low-dimensional embeddings through angle preservation
di: Fischer, Jonas, et al.
Pubblicazione: (2024)

Guiding Neuro-Symbolic Scenario Generation with Spatio-Temporal Logic
di: Bonin, Lorenzo, et al.
Pubblicazione: (2026)

Variable feature weighted fuzzy k-means algorithm for high dimensional data
di: Singh, Vikas, et al.
Pubblicazione: (2019)

Classification of high-dimensional data with spiked covariance matrix structure
di: Chen, Yin-Jen, et al.
Pubblicazione: (2021)

FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff
di: Hu, Andy, et al.
Pubblicazione: (2025)

A randomized algorithm to solve reduced rank operator regression
di: Turri, Giacomo, et al.
Pubblicazione: (2023)

Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
di: Dempster, Angus, et al.
Pubblicazione: (2024)

Predicting two-dimensional spatiotemporal chaotic patterns with optimized high-dimensional hybrid reservoir computing
di: Nakano, Tamon, et al.
Pubblicazione: (2025)

Meta-Instance Selection. Instance Selection as a Classification Problem with Meta-Features
di: Blachnik, Marcin, et al.
Pubblicazione: (2025)

PHEATPRUNER: Interpretable Data-centric Feature Selection for Multivariate Time Series Classification through Persistent Homology
di: Pham, Anh-Duy, et al.
Pubblicazione: (2025)

Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification
di: Li, Haoning, et al.
Pubblicazione: (2024)

Search-contempt: a hybrid MCTS algorithm for training AlphaZero-like engines with better computational efficiency
di: Joshi, Ameya
Pubblicazione: (2025)

An Exact Finite-dimensional Explicit Feature Map for Kernel Functions
di: Ghiasi-Shirazi, Kamaledin, et al.
Pubblicazione: (2024)

A cutting plane algorithm for globally solving low dimensional k-means clustering problems
di: Ryner, Martin, et al.
Pubblicazione: (2024)

Features are fate: a theory of transfer learning in high-dimensional regression
di: Tahir, Javan, et al.
Pubblicazione: (2024)

A brief review of the Deep BSDE method for solving high-dimensional partial differential equations
di: Han, Jiequn, et al.
Pubblicazione: (2025)

Assessing Cyclostationary Malware Detection via Feature Selection and Classification
di: Nkongolo, Mike
Pubblicazione: (2023)

High-dimensional Analysis of Synthetic Data Selection
di: Rezaei, Parham, et al.
Pubblicazione: (2025)

A new model for natural groupings in high-dimensional data
di: Boutin, Mireille, et al.
Pubblicazione: (2019)

Novel GPU Boruta algorithms for feature selection from high-dimensional data
di: Li, Xurui, et al.
Pubblicazione: (2026)

The Neural Tangent Kernel for Classification
di: Plenk, Jonathan, et al.
Pubblicazione: (2026)