Associativity-Peakiness Metric for Contingency Tables
Fuente:
arXiv
Saved in:
| Main Authors: | Zirkind, Naomi E., Diehl, William J. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
by: Canastra, Catarina, et al.
Published: (2025)
by: Canastra, Catarina, et al.
Published: (2025)
Enhancing classification accuracy through chaos
by: Stinis, Panos
Published: (2026)
by: Stinis, Panos
Published: (2026)
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
by: Chung, Matthias, et al.
Published: (2025)
by: Chung, Matthias, et al.
Published: (2025)
A survey and taxonomy of methods interpreting random forest models
by: Haddouchi, Maissae, et al.
Published: (2024)
by: Haddouchi, Maissae, et al.
Published: (2024)
How much data do you need? Part 2: Predicting DL class specific training dataset sizes
by: Mühlenstädt, Thomas, et al.
Published: (2024)
by: Mühlenstädt, Thomas, et al.
Published: (2024)
Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
by: Cooley, Madison, et al.
Published: (2024)
by: Cooley, Madison, et al.
Published: (2024)
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
by: Visentin, Gabriele, et al.
Published: (2025)
by: Visentin, Gabriele, et al.
Published: (2025)
Continuous Sweep for Binary Quantification Learning
by: Kloos, Kevin, et al.
Published: (2023)
by: Kloos, Kevin, et al.
Published: (2023)
Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models
by: Gao, Weiguo, et al.
Published: (2025)
by: Gao, Weiguo, et al.
Published: (2025)
S$^2$GPT-PINNs: Sparse and Small models for PDEs
by: Ji, Yajie, et al.
Published: (2025)
by: Ji, Yajie, et al.
Published: (2025)
Learning the symmetric group: large from small
by: Petschack, Max, et al.
Published: (2025)
by: Petschack, Max, et al.
Published: (2025)
Enhancing Classification Performance via Reinforcement Learning for Feature Selection
by: Jahed, Younes Ghazagh, et al.
Published: (2024)
by: Jahed, Younes Ghazagh, et al.
Published: (2024)
Hammer and Anvil: Toward a Theory of Backdoors in Federated Learning
by: Fenaux, Lucas, et al.
Published: (2025)
by: Fenaux, Lucas, et al.
Published: (2025)
Performance Insights-based AI-driven Football Transfer Fee Prediction
by: Sulimov, Daniil
Published: (2024)
by: Sulimov, Daniil
Published: (2024)
Neural Bradley-Terry Rating: Quantifying Properties from Comparisons
by: Fujii, Satoru
Published: (2023)
by: Fujii, Satoru
Published: (2023)
Calibrated Explanations for Regression
by: Löfström, Tuwe, et al.
Published: (2023)
by: Löfström, Tuwe, et al.
Published: (2023)
PatternBoost: Constructions in Mathematics with a Little Help from AI
by: Charton, François, et al.
Published: (2024)
by: Charton, François, et al.
Published: (2024)
Sub-Token Routing in LoRA for Adaptation and Query-Aware KV Compression
by: Jiang, Wei, et al.
Published: (2026)
by: Jiang, Wei, et al.
Published: (2026)
Deep Unrolling Networks with Recurrent Momentum Acceleration for Nonlinear Inverse Problems
by: Zhou, Qingping, et al.
Published: (2023)
by: Zhou, Qingping, et al.
Published: (2023)
Advances in Set Function Learning: A Survey of Techniques and Applications
by: Xie, Jiahao, et al.
Published: (2025)
by: Xie, Jiahao, et al.
Published: (2025)
Generalization Bounds and Statistical Guarantees for Multi-Task and Multiple Operator Learning with MNO Networks
by: Weihs, Adrien, et al.
Published: (2026)
by: Weihs, Adrien, et al.
Published: (2026)
Infinite-Dimensional Diffusion Models
by: Pidstrigach, Jakiw, et al.
Published: (2023)
by: Pidstrigach, Jakiw, et al.
Published: (2023)
EdgeMark: An Automation and Benchmarking System for Embedded Artificial Intelligence Tools
by: Hasanpour, Mohammad Amin, et al.
Published: (2025)
by: Hasanpour, Mohammad Amin, et al.
Published: (2025)
Efficient kernel surrogates for neural network-based regression
by: Qadeer, Saad, et al.
Published: (2023)
by: Qadeer, Saad, et al.
Published: (2023)
The Veracity Problem: Detecting False Information and its Propagation on Online Social Media Networks
by: Condran, Sarah
Published: (2024)
by: Condran, Sarah
Published: (2024)
A Neural Operator based on Dynamic Mode Decomposition
by: Sakovich, Nikita, et al.
Published: (2025)
by: Sakovich, Nikita, et al.
Published: (2025)
Neural Network Approximation: A View from Polytope Decomposition
by: Li, ZeYu, et al.
Published: (2026)
by: Li, ZeYu, et al.
Published: (2026)
Dimensionality reduction and width of deep neural networks based on topological degree theory
by: Yang, Xiao-Song
Published: (2025)
by: Yang, Xiao-Song
Published: (2025)
Evolving Ranking Functions for Canonical Blow-Ups in Positive Characteristic
by: Bérczi, Gergely
Published: (2026)
by: Bérczi, Gergely
Published: (2026)
Customizing Graph Neural Networks using Path Reweighting
by: Chen, Jianpeng, et al.
Published: (2021)
by: Chen, Jianpeng, et al.
Published: (2021)
Learning inducing points and uncertainty on molecular data by scalable variational Gaussian processes
by: Tsitsvero, Mikhail, et al.
Published: (2022)
by: Tsitsvero, Mikhail, et al.
Published: (2022)
Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization
by: Park, Youngjae, et al.
Published: (2026)
by: Park, Youngjae, et al.
Published: (2026)
Machine learning for phase-resolved reconstruction of nonlinear ocean wave surface elevations from sparse remote sensing data
by: Ehlers, Svenja, et al.
Published: (2023)
by: Ehlers, Svenja, et al.
Published: (2023)
Enforcing boundary conditions for physics-informed neural operators
by: Göschel, Niklas, et al.
Published: (2025)
by: Göschel, Niklas, et al.
Published: (2025)
WAVE-DETR Multi-Modal Visible and Acoustic Real-Life Drone Detector
by: Stefanescu, Razvan, et al.
Published: (2025)
by: Stefanescu, Razvan, et al.
Published: (2025)
Leveraging KANs for Expedient Training of Multichannel MLPs via Preconditioning and Geometric Refinement
by: Actor, Jonas A., et al.
Published: (2025)
by: Actor, Jonas A., et al.
Published: (2025)
A Sparse Tensor Generator with Efficient Feature Extraction
by: Torun, Tugba, et al.
Published: (2024)
by: Torun, Tugba, et al.
Published: (2024)
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs
by: Li, Ruifeng, et al.
Published: (2024)
by: Li, Ruifeng, et al.
Published: (2024)
GAS: A Gaussian Mixture Distribution-Based Adaptive Sampling Method for PINNs
by: Jiao, Yuling, et al.
Published: (2023)
by: Jiao, Yuling, et al.
Published: (2023)
An Open-Source Tool for Classification Models in Resource-Constrained Hardware
by: da Silva, Lucas Tsutsui, et al.
Published: (2021)
by: da Silva, Lucas Tsutsui, et al.
Published: (2021)
Similar Items
-
A Systematic Evaluation of Knowledge Graph Embeddings for Gene-Disease Association Prediction
by: Canastra, Catarina, et al.
Published: (2025) -
Enhancing classification accuracy through chaos
by: Stinis, Panos
Published: (2026) -
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems
by: Chung, Matthias, et al.
Published: (2025) -
A survey and taxonomy of methods interpreting random forest models
by: Haddouchi, Maissae, et al.
Published: (2024) -
How much data do you need? Part 2: Predicting DL class specific training dataset sizes
by: Mühlenstädt, Thomas, et al.
Published: (2024)