Probabilistic classification from possibilistic data: computing Kullback-Leibler projection with a possibility distribution
Fuente:
arXiv
Saved in:
| Main Authors: | Baaj, Ismaïl, Marquis, Pierre |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
$Π$-NeSy: A Possibilistic Neuro-Symbolic Approach
by: Baaj, Ismaïl, et al.
Published: (2025)
by: Baaj, Ismaïl, et al.
Published: (2025)
A Sugeno Integral View of Binarized Neural Network Inference
by: Baaj, Ismaïl, et al.
Published: (2026)
by: Baaj, Ismaïl, et al.
Published: (2026)
Generalized Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2025)
by: Cui, Jiequan, et al.
Published: (2025)
Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
by: Luong, Hoang-Chau, et al.
Published: (2026)
by: Luong, Hoang-Chau, et al.
Published: (2026)
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025)
by: Amini, Afra, et al.
Published: (2025)
Entropy and the Kullback-Leibler Divergence for Bayesian Networks: Computational Complexity and Efficient Implementation
by: Scutari, Marco
Published: (2023)
by: Scutari, Marco
Published: (2023)
Wasserstein Distance Rivals Kullback-Leibler Divergence for Knowledge Distillation
by: Lv, Jiaming, et al.
Published: (2024)
by: Lv, Jiaming, et al.
Published: (2024)
On learning capacities of Sugeno integrals with systems of fuzzy relational equations
by: Baaj, Ismaïl
Published: (2024)
by: Baaj, Ismaïl
Published: (2024)
Approximate matrices of systems of max-min fuzzy relational equations
by: Baaj, Ismaïl
Published: (2025)
by: Baaj, Ismaïl
Published: (2025)
A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees
by: Audemard, Gilles, et al.
Published: (2025)
by: Audemard, Gilles, et al.
Published: (2025)
MODE: Multi-Objective Adaptive Coreset Selection
by: Mukherjee, Tanmoy, et al.
Published: (2025)
by: Mukherjee, Tanmoy, et al.
Published: (2025)
Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
by: Mukherjee, Tanmoy, et al.
Published: (2026)
by: Mukherjee, Tanmoy, et al.
Published: (2026)
Sharper Perturbed-Kullback-Leibler Exponential Tail Bounds for Beta and Dirichlet Distributions
by: Perrault, Pierre
Published: (2025)
by: Perrault, Pierre
Published: (2025)
Limits to classification performance by relating Kullback-Leibler divergence to Cohen's Kappa
by: Crow, L., et al.
Published: (2024)
by: Crow, L., et al.
Published: (2024)
Decoupled Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2023)
by: Cui, Jiequan, et al.
Published: (2023)
Kullback-Leibler Barycentre of Stochastic Processes
by: Jaimungal, Sebastian, et al.
Published: (2024)
by: Jaimungal, Sebastian, et al.
Published: (2024)
Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
by: Lin, Wu, et al.
Published: (2025)
by: Lin, Wu, et al.
Published: (2025)
Jeffrey's update rule as a minimizer of Kullback-Leibler divergence
by: Pinzón, Carlos, et al.
Published: (2025)
by: Pinzón, Carlos, et al.
Published: (2025)
Opinion: Revisiting synthetic data classifications from a privacy perspective
by: Vallevik, Vibeke Binz, et al.
Published: (2025)
by: Vallevik, Vibeke Binz, et al.
Published: (2025)
Time series classification of satellite data using LSTM networks: an approach for predicting leaf-fall to minimize railroad traffic disruption
by: de Wilde, Hein, et al.
Published: (2025)
by: de Wilde, Hein, et al.
Published: (2025)
Coarse-Grained Kullback--Leibler Control of Diffusion-Based Generative AI
by: Tsuruyama, Tatsuaki
Published: (2026)
by: Tsuruyama, Tatsuaki
Published: (2026)
Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards
by: Qin, Hao, et al.
Published: (2023)
by: Qin, Hao, et al.
Published: (2023)
Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models
by: Wu, Taiqiang, et al.
Published: (2024)
by: Wu, Taiqiang, et al.
Published: (2024)
Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergence
by: Nkurunziza, Jean Pacifique, et al.
Published: (2024)
by: Nkurunziza, Jean Pacifique, et al.
Published: (2024)
Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions
by: Vargas, Víctor Manuel, et al.
Published: (2024)
by: Vargas, Víctor Manuel, et al.
Published: (2024)
Lower-dimensional projections of cellular expression improves cell type classification from single-cell RNA sequencing
by: Umar, Muhammad, et al.
Published: (2024)
by: Umar, Muhammad, et al.
Published: (2024)
Longitudinal Ensemble Integration for sequential classification with multimodal data
by: Susman, Aviad, et al.
Published: (2024)
by: Susman, Aviad, et al.
Published: (2024)
Nearly Minimax Discrete Distribution Estimation in Kullback-Leibler Divergence with High Probability
by: van der Hoeven, Dirk, et al.
Published: (2025)
by: van der Hoeven, Dirk, et al.
Published: (2025)
Statistical and Geometrical properties of regularized Kernel Kullback-Leibler divergence
by: Chazal, Clémentine, et al.
Published: (2024)
by: Chazal, Clémentine, et al.
Published: (2024)
Exploring the potential of prototype-based soft-labels data distillation for imbalanced data classification
by: Rosu, Radu-Andrei, et al.
Published: (2024)
by: Rosu, Radu-Andrei, et al.
Published: (2024)
Infant movement classification through pressure distribution analysis
by: Kulvicius, Tomas, et al.
Published: (2022)
by: Kulvicius, Tomas, et al.
Published: (2022)
Vocabulary Expansion of Large Language Models via Kullback-Leibler-Based Self-Distillation
by: Linder, Max Rehman
Published: (2025)
by: Linder, Max Rehman
Published: (2025)
Probabilistic Artificial Intelligence
by: Krause, Andreas, et al.
Published: (2025)
by: Krause, Andreas, et al.
Published: (2025)
Relaxed Triangle Inequality for Kullback-Leibler Divergence Between Multivariate Gaussian Distributions
by: Xiao, Shiji, et al.
Published: (2026)
by: Xiao, Shiji, et al.
Published: (2026)
A Kullback-Leibler divergence method for input-system-state identification
by: Impraimakis, Marios
Published: (2025)
by: Impraimakis, Marios
Published: (2025)
Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs
by: Papež, Milan, et al.
Published: (2025)
by: Papež, Milan, et al.
Published: (2025)
Causal Neural Probabilistic Circuits
by: Chen, Weixin, et al.
Published: (2026)
by: Chen, Weixin, et al.
Published: (2026)
Probabilistic Dreaming for World Models
by: Wong, Gavin
Published: (2026)
by: Wong, Gavin
Published: (2026)
Confidence Optimization for Probabilistic Encoding
by: Xia, Pengjiu, et al.
Published: (2025)
by: Xia, Pengjiu, et al.
Published: (2025)
Restructuring Tractable Probabilistic Circuits
by: Zhang, Honghua, et al.
Published: (2024)
by: Zhang, Honghua, et al.
Published: (2024)
Similar Items
-
$Π$-NeSy: A Possibilistic Neuro-Symbolic Approach
by: Baaj, Ismaïl, et al.
Published: (2025) -
A Sugeno Integral View of Binarized Neural Network Inference
by: Baaj, Ismaïl, et al.
Published: (2026) -
Generalized Kullback-Leibler Divergence Loss
by: Cui, Jiequan, et al.
Published: (2025) -
Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation
by: Luong, Hoang-Chau, et al.
Published: (2026) -
Better Estimation of the Kullback--Leibler Divergence Between Language Models
by: Amini, Afra, et al.
Published: (2025)