Guardado en:
| Autor principal: | Lane, Richard Oliver |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2504.18278 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Class incremental learning with probability dampening and cascaded gated classifier
por: Pomponi, Jary, et al.
Publicado: (2024)
por: Pomponi, Jary, et al.
Publicado: (2024)
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
por: Noé, Paul-Gauthier, et al.
Publicado: (2025)
por: Noé, Paul-Gauthier, et al.
Publicado: (2025)
PolyGraph Discrepancy: a classifier-based metric for graph generation
por: Krimmel, Markus, et al.
Publicado: (2025)
por: Krimmel, Markus, et al.
Publicado: (2025)
Can a calibration metric be both testable and actionable?
por: Rossellini, Raphael, et al.
Publicado: (2025)
por: Rossellini, Raphael, et al.
Publicado: (2025)
ReLU integral probability metric and its applications
por: Park, Yuha, et al.
Publicado: (2025)
por: Park, Yuha, et al.
Publicado: (2025)
The Certainty Ratio $C_ρ$: a novel metric for assessing the reliability of classifier predictions
por: Aguilar-Ruiz, Jesus S.
Publicado: (2024)
por: Aguilar-Ruiz, Jesus S.
Publicado: (2024)
Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification
por: Franck, Christopher T., et al.
Publicado: (2025)
por: Franck, Christopher T., et al.
Publicado: (2025)
Fault detection and diagnosis for the engine electrical system of a space launcher based on a temporal convolutional autoencoder and calibrated classifiers
por: Basora, Luis, et al.
Publicado: (2025)
por: Basora, Luis, et al.
Publicado: (2025)
Combining Minkowski and Chebyshev: New distance proposal and survey of distance metrics using k-nearest neighbours classifier
por: Rodrigues, Érick Oliveira
Publicado: (2021)
por: Rodrigues, Érick Oliveira
Publicado: (2021)
Quantum-inspired probability metrics define a complete, universal space for statistical learning
por: McCarty, Logan S.
Publicado: (2025)
por: McCarty, Logan S.
Publicado: (2025)
LxCIM: a new rank-based binary classifier performance metric invariant to local exchange of classes
por: Brogueira, Tiago, et al.
Publicado: (2025)
por: Brogueira, Tiago, et al.
Publicado: (2025)
Accelerating optimization over the space of probability measures
por: Chen, Shi, et al.
Publicado: (2023)
por: Chen, Shi, et al.
Publicado: (2023)
How adversarial attacks can disrupt seemingly stable accurate classifiers
por: Sutton, Oliver J., et al.
Publicado: (2023)
por: Sutton, Oliver J., et al.
Publicado: (2023)
Deep learning applied to computational mechanics: A comprehensive review, state of the art, and the classics
por: Vu-Quoc, Loc, et al.
Publicado: (2022)
por: Vu-Quoc, Loc, et al.
Publicado: (2022)
Zero-failure testing of binary classifiers
por: Ivrissimtzis, Ioannis, et al.
Publicado: (2024)
por: Ivrissimtzis, Ioannis, et al.
Publicado: (2024)
Global explainability of a deep abstaining classifier
por: Dhaubhadel, Sayera, et al.
Publicado: (2025)
por: Dhaubhadel, Sayera, et al.
Publicado: (2025)
Computationally lightweight classifiers with frequentist bounds on predictions
por: Murali, Shreeram, et al.
Publicado: (2026)
por: Murali, Shreeram, et al.
Publicado: (2026)
Hierarchical mixture of discriminative Generalized Dirichlet classifiers
por: Togban, Elvis, et al.
Publicado: (2024)
por: Togban, Elvis, et al.
Publicado: (2024)
How many classifiers do we need?
por: Kim, Hyunsuk, et al.
Publicado: (2024)
por: Kim, Hyunsuk, et al.
Publicado: (2024)
On adversarial training and the 1 Nearest Neighbor classifier
por: Hagai, Amir, et al.
Publicado: (2024)
por: Hagai, Amir, et al.
Publicado: (2024)
On high-dimensional modifications of the nearest neighbor classifier
por: Ghosh, Annesha, et al.
Publicado: (2024)
por: Ghosh, Annesha, et al.
Publicado: (2024)
A comprehensive review and analysis of different modeling approaches for financial index tracking problem
por: Dhingra, Vrinda, et al.
Publicado: (2026)
por: Dhingra, Vrinda, et al.
Publicado: (2026)
Time-dependent density estimation using binary classifiers
por: Dasgupta, Agnimitra, et al.
Publicado: (2025)
por: Dasgupta, Agnimitra, et al.
Publicado: (2025)
Large margin classifier with graph-based adaptive regularization
por: Hanriot, Vítor M., et al.
Publicado: (2026)
por: Hanriot, Vítor M., et al.
Publicado: (2026)
A Novel Approach to Regularising 1NN classifier for Improved Generalization
por: Challa, Aditya, et al.
Publicado: (2024)
por: Challa, Aditya, et al.
Publicado: (2024)
A comprehensive review of Quantum Machine Learning: from NISQ to Fault Tolerance
por: Wang, Yunfei, et al.
Publicado: (2024)
por: Wang, Yunfei, et al.
Publicado: (2024)
Lattice Climber Attack: Adversarial attacks for randomized mixtures of classifiers
por: Gnecco-Heredia, Lucas, et al.
Publicado: (2025)
por: Gnecco-Heredia, Lucas, et al.
Publicado: (2025)
Optimal partition of feature using Bayesian classifier
por: Vishwakarma, Sanjay, et al.
Publicado: (2023)
por: Vishwakarma, Sanjay, et al.
Publicado: (2023)
Shot-frugal and Robust quantum kernel classifiers
por: Shastry, Abhay, et al.
Publicado: (2022)
por: Shastry, Abhay, et al.
Publicado: (2022)
Building a stable classifier with the inflated argmax
por: Soloff, Jake A., et al.
Publicado: (2024)
por: Soloff, Jake A., et al.
Publicado: (2024)
I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
por: Vashistha, Ritwik, et al.
Publicado: (2025)
por: Vashistha, Ritwik, et al.
Publicado: (2025)
Probability calibration for precipitation nowcasting
por: Kurki, Lauri, et al.
Publicado: (2025)
por: Kurki, Lauri, et al.
Publicado: (2025)
Robustness and uncertainty: two complementary aspects of the reliability of the predictions of a classifier
por: Detavernier, Adrián, et al.
Publicado: (2025)
por: Detavernier, Adrián, et al.
Publicado: (2025)
GradCheck: Analyzing classifier guidance gradients for conditional diffusion sampling
por: Vaeth, Philipp, et al.
Publicado: (2024)
por: Vaeth, Philipp, et al.
Publicado: (2024)
Silhouettes and quasi residual plots for neural nets and tree-based classifiers
por: Raymaekers, Jakob, et al.
Publicado: (2021)
por: Raymaekers, Jakob, et al.
Publicado: (2021)
Exploring label correlations using decision templates for ensemble of classifier chains
por: Rocha, Victor F., et al.
Publicado: (2026)
por: Rocha, Victor F., et al.
Publicado: (2026)
A weighted quantum ensemble of homogeneous quantum classifiers
por: Tolotti, Emiliano, et al.
Publicado: (2025)
por: Tolotti, Emiliano, et al.
Publicado: (2025)
Inverse classification with logistic and softmax classifiers: efficient optimization
por: Carreira-Perpiñán, Miguel Á., et al.
Publicado: (2023)
por: Carreira-Perpiñán, Miguel Á., et al.
Publicado: (2023)
AED: An black-box NLP classifier model attacker
por: Liu, Yueyang, et al.
Publicado: (2021)
por: Liu, Yueyang, et al.
Publicado: (2021)
An Entropic Metric for Measuring Calibration of Machine Learning Models
por: Sumler, Daniel James, et al.
Publicado: (2025)
por: Sumler, Daniel James, et al.
Publicado: (2025)
Ejemplares similares
-
Class incremental learning with probability dampening and cascaded gated classifier
por: Pomponi, Jary, et al.
Publicado: (2024) -
The distribution of calibrated likelihood functions on the probability-likelihood Aitchison simplex
por: Noé, Paul-Gauthier, et al.
Publicado: (2025) -
PolyGraph Discrepancy: a classifier-based metric for graph generation
por: Krimmel, Markus, et al.
Publicado: (2025) -
Can a calibration metric be both testable and actionable?
por: Rossellini, Raphael, et al.
Publicado: (2025) -
ReLU integral probability metric and its applications
por: Park, Yuha, et al.
Publicado: (2025)