Comparison of Maximum Likelihood Classification Before and After Applying Weierstrass Transform
Fuente:
arXiv
Saved in:
| Main Authors: | Shoaib, Muhammad, Rehman, Zaka Ur, Qasim, Muhammad |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Norm-Based Regularization for Neural Networks
by: Qasim, Muhammad, et al.
Published: (2026)
by: Qasim, Muhammad, et al.
Published: (2026)
Anisotropic local law for non-separable sample covariance matrices
by: Fan, Zhou, et al.
Published: (2026)
by: Fan, Zhou, et al.
Published: (2026)
Measurement Uncertainty: Relating the uncertainties of physical and virtual measurements
by: Cramer, Simon, et al.
Published: (2024)
by: Cramer, Simon, et al.
Published: (2024)
Discovering and Analyzing Stochastic Processes to Reduce Waste in Food Retail
by: Kalenkova, Anna, et al.
Published: (2025)
by: Kalenkova, Anna, et al.
Published: (2025)
Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data
by: Thakur, Debjoy
Published: (2026)
by: Thakur, Debjoy
Published: (2026)
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
by: Zhou, Zihan, et al.
Published: (2024)
by: Zhou, Zihan, et al.
Published: (2024)
Adaptive Online Experimental Design for Causal Discovery
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
by: Elahi, Muhammad Qasim, et al.
Published: (2024)
Performance of Cross-Validated Targeted Maximum Likelihood Estimation
by: Smith, Matthew J., et al.
Published: (2024)
by: Smith, Matthew J., et al.
Published: (2024)
Learning Likelihood Ratios with Neural Network Classifiers
by: Rizvi, Shahzar, et al.
Published: (2023)
by: Rizvi, Shahzar, et al.
Published: (2023)
Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
by: Zhou, Yunzhe, et al.
Published: (2024)
by: Zhou, Yunzhe, et al.
Published: (2024)
"Noisier" Noise Contrastive Eestimation is (Almost) Maximum Likelihood
by: Yu, Peiyu, et al.
Published: (2024)
by: Yu, Peiyu, et al.
Published: (2024)
It's all In the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms
by: Kang, Keegan, et al.
Published: (2026)
by: Kang, Keegan, et al.
Published: (2026)
Partial Model Sharing Improves Byzantine Resilience in Federated Conformal Prediction
by: Lari, Ehsan, et al.
Published: (2026)
by: Lari, Ehsan, et al.
Published: (2026)
Detecting Stochasticity in Discrete Signals via Nonparametric Excursion Theorem
by: Tanweer, Sunia, et al.
Published: (2026)
by: Tanweer, Sunia, et al.
Published: (2026)
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
by: Ansah-Narh, T., et al.
Published: (2026)
by: Ansah-Narh, T., et al.
Published: (2026)
PRISM-FCP: Byzantine-Resilient Federated Conformal Prediction via Partial Sharing
by: Lari, Ehsan, et al.
Published: (2026)
by: Lari, Ehsan, et al.
Published: (2026)
Revealing the temporal dynamics of antibiotic anomalies in the infant gut microbiome with neural jump ODEs
by: Adamov, Anja, et al.
Published: (2025)
by: Adamov, Anja, et al.
Published: (2025)
Asymptotic non-linear shrinkage and eigenvector overlap for weighted sample covariance
by: Oriol, Benoit
Published: (2024)
by: Oriol, Benoit
Published: (2024)
TowerDebias: A Novel Unfairness Removal Method Based on the Tower Property
by: Matloff, Norman, et al.
Published: (2024)
by: Matloff, Norman, et al.
Published: (2024)
Assessing One-Dimensional Cluster Stability by Extreme-Point Trimming
by: Dereure, Erwan, et al.
Published: (2025)
by: Dereure, Erwan, et al.
Published: (2025)
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification
by: Nguyen, Hai-Vy, et al.
Published: (2024)
by: Nguyen, Hai-Vy, et al.
Published: (2024)
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
by: Shao, Sisi, et al.
Published: (2024)
by: Shao, Sisi, et al.
Published: (2024)
Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation
by: Okubo, Hayato, et al.
Published: (2026)
by: Okubo, Hayato, et al.
Published: (2026)
Toward Model-Agnostic Detection of New Physics Using Data-Driven Signal Regions
by: Yi, Soheun, et al.
Published: (2024)
by: Yi, Soheun, et al.
Published: (2024)
Reservoir Static Property Estimation Using Nearest-Neighbor Neural Network
by: Wang, Yuhe
Published: (2024)
by: Wang, Yuhe
Published: (2024)
History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions
by: Shishaev, Gleb, et al.
Published: (2025)
by: Shishaev, Gleb, et al.
Published: (2025)
From Occurrence to Consequence: A Comprehensive Data-driven Analysis of Building Fire Risk
by: Ma, Chenzhi, et al.
Published: (2025)
by: Ma, Chenzhi, et al.
Published: (2025)
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction
by: Lou, Xiayin, et al.
Published: (2024)
by: Lou, Xiayin, et al.
Published: (2024)
Surrogate Modelling of Proton Dose with Monte Carlo Dropout Uncertainty Quantification
by: Pim, Aaron, et al.
Published: (2025)
by: Pim, Aaron, et al.
Published: (2025)
Approximate Maximum Likelihood Inference for Acoustic Spatial Capture-Recapture with Unknown Identities, Using Monte Carlo Expectation Maximization
by: Wang, Yuheng, et al.
Published: (2024)
by: Wang, Yuheng, et al.
Published: (2024)
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation
by: Akyildiz, Ö. Deniz, et al.
Published: (2023)
by: Akyildiz, Ö. Deniz, et al.
Published: (2023)
Recursive Maximum Likelihood Estimation for Interacting Particle Systems using Virtual Particles
by: Sharrock, Louis, et al.
Published: (2026)
by: Sharrock, Louis, et al.
Published: (2026)
Inherited or produced? Inferring protein production kinetics when protein counts are shaped by a cell's division history
by: Pessoa, Pedro, et al.
Published: (2025)
by: Pessoa, Pedro, et al.
Published: (2025)
Regime-Aware Conditional Neural Processes with Multi-Criteria Decision Support for Operational Electricity Price Forecasting
by: Das, Abhinav, et al.
Published: (2025)
by: Das, Abhinav, et al.
Published: (2025)
Fast Likelihood-Free Parameter Estimation for Lévy Processes
by: Coloma, Nicolas, et al.
Published: (2025)
by: Coloma, Nicolas, et al.
Published: (2025)
Estimating link level traffic emissions: enhancing MOVES with open-source data
by: Wang, Lijiao, et al.
Published: (2025)
by: Wang, Lijiao, et al.
Published: (2025)
Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution
by: Ansah-Narh, T., et al.
Published: (2026)
by: Ansah-Narh, T., et al.
Published: (2026)
A Criterion for Extending Continuous-Mixture Identifiability Results
by: Powers, Michael R., et al.
Published: (2025)
by: Powers, Michael R., et al.
Published: (2025)
EnScale: Temporally-consistent multivariate generative downscaling via proper scoring rules
by: Schillinger, Maybritt, et al.
Published: (2025)
by: Schillinger, Maybritt, et al.
Published: (2025)
ESM: A Framework for Building Effective Surrogate Models for Hardware-Aware Neural Architecture Search
by: Nasir, Azaz-Ur-Rehman, et al.
Published: (2025)
by: Nasir, Azaz-Ur-Rehman, et al.
Published: (2025)
Similar Items
-
Adaptive Norm-Based Regularization for Neural Networks
by: Qasim, Muhammad, et al.
Published: (2026) -
Anisotropic local law for non-separable sample covariance matrices
by: Fan, Zhou, et al.
Published: (2026) -
Measurement Uncertainty: Relating the uncertainties of physical and virtual measurements
by: Cramer, Simon, et al.
Published: (2024) -
Discovering and Analyzing Stochastic Processes to Reduce Waste in Food Retail
by: Kalenkova, Anna, et al.
Published: (2025) -
Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data
by: Thakur, Debjoy
Published: (2026)