Statistics - Machine Learning

RSS

Signal Processing New Method Enhances Battery Health Estimation

A novel approach improves the accuracy of lithium-ion battery health assessments.

Kate Qi Zhou, Yan Qin, Chau Yuen

2025-06-12T21:03:44+00:00 ― 5 min read

Latest Articles

Machine Learning Improving Predictive Performance with Conditional Mixture Networks

A new approach enhances prediction speed and accuracy in various fields.

Conor Heins, Hao Wu, Dimitrije Markovic

2025-06-12T15:13:16+00:00 ― 6 min read

Machine Learning Advancements in Sampling Techniques for Molecular Studies

New method improves sampling efficiency using energy functions.

Dongyeop Woo, Sungsoo Ahn

2025-06-12T14:23:12+00:00 ― 5 min read

Machine Learning Causality in Complex Systems: A Modern Approach

Examining the role of higher-order causality in understanding complex systems.

Jakub Kořenek, Pavel Sanda, Jaroslav Hlinka

2025-06-12T13:33:08+00:00 ― 5 min read

Quantum Physics Quantum Computing and Its Impact on Machine Learning Techniques

Exploring how quantum concepts can advance machine learning methods.

David Wakeham, Maria Schuld

2025-06-12T06:52:36+00:00 ― 8 min read

Machine Learning Advancements in Multivariate Distributional Reinforcement Learning

New algorithms improve decision-making with multiple rewards in reinforcement learning.

Harley Wiltzer, Jesse Farebrother, Arthur Gretton

2025-06-12T05:12:28+00:00 ― 5 min read

Applications Addressing Missing Data in Wind Farms

New methods improve data accuracy in wind energy production.

Amandine Pierrot, Pierre Pinson

2025-06-12T04:22:24+00:00 ― 7 min read

Machine Learning Efficiency in Quantized Neural Networks

This study examines performance and conditions for quantized neural networks under fixed-point arithmetic.

Geonho Hwang, Yeachan Park, Sejun Park

2025-06-12T03:32:20+00:00 ― 6 min read

Machine Learning Ensuring Fairness in Graphical Models

This article addresses bias in graphical models and proposes a method for fair analysis.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou

2025-06-12T02:42:16+00:00 ― 6 min read

Machine Learning Bayesian Optimization in Complex Decision-Making

A method to find optimal solutions in uncertain environments with costly evaluations.

Jack M. Buckingham, Ivo Couckuyt, Juergen Branke

2025-06-12T01:52:12+00:00 ― 5 min read

Machine Learning Learning Halfspaces Amid Noisy Labels

A method for learning in challenging conditions with noisy data.

Ilias Diakonikolas, Daniel M. Kane, Sihan Liu

2025-06-12T01:02:08+00:00 ― 6 min read

Machine Learning New Method Clarifies Machine Learning Feature Interactions

A fresh approach enhances understanding of data relationships in machine learning.

Winston Chen, Yifan Jiang, William Stafford Noble

2025-06-12T00:12:04+00:00 ― 7 min read

Machine Learning Reverse Experience Replay: A New Approach in Reinforcement Learning

Exploring Reverse Experience Replay for more efficient learning in reinforcement algorithms.

Nan Jiang, Jinzhao Li, Yexiang Xue

2025-06-11T23:22:00+00:00 ― 8 min read

Machine Learning Improving Fairness in Multi-Output Machine Learning

This paper presents a method to enhance fairness in multi-output machine learning models.

Gang Li, Qihang Lin, Ayush Ghosh

2025-06-11T18:21:36+00:00 ― 6 min read

Computation and Language Advancements in Treatment for Rare Gynecological Tumors

New technologies aim to improve care for patients with rare gynecological cancers.

Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin

2025-06-11T17:31:32+00:00 ― 6 min read

Optimization and Control The Role of Prosumers in Energy Management

Prosumers balance energy supply and demand in Iran's challenging market.

Amir Noori, Babak Tavassoli, Alireza Fereidunian

2025-06-11T16:41:28+00:00 ― 5 min read

Statistics Theory Challenges in Kernel Regression with High-Dimensional Data

A look into kernel regression's challenges and insights in high-dimensional settings.

Weihao Lu, Jialin Ding, Haobo Zhang

2025-06-11T15:01:20+00:00 ― 8 min read

Methodology Analyzing Functional Data Through Directional Regularity

A new method enhances the analysis of functional data by accounting for directionality.

Omar Kassi, Sunny G. W. Wang

2025-06-11T14:11:16+00:00 ― 6 min read

Machine Learning Adapting Kernel Regression for Better Predictions

Examining how flexibility in models enhances predictive accuracy through dynamic adjustments.

Yicheng Li, Qian Lin

2025-06-11T13:21:12+00:00 ― 7 min read

Machine Learning Integrating Physics into Generative Models for Realistic Motion

A new method enhances generative models by integrating physical rules for realistic movement.

Zihan Zhou, Xiaoxue Wang, Tianshu Yu

2025-06-11T12:31:08+00:00 ― 5 min read

Computation Effective Dimensionality Reduction with psvmSDR Package

Explore the psvmSDR package for efficient variable reduction in data analysis.

Jungmin Shin, Seung Jun Shin, Andreas Artemiou

2025-06-11T10:51:00+00:00 ― 5 min read

Computation Optimizing Temperature Selection in Parallel Tempering MCMC

A new method enhances temperature selection for efficient statistical sampling.

Daniel Zhao, Natesh S. Pillai

2025-06-11T08:20:48+00:00 ― 6 min read

Machine Learning Improving Wave Height Predictions with Machine Learning

A new method combines statistical techniques and machine learning for better wave height forecasts.

Zixin Lin, Nur Fariha Syaqina Zulkepli, Mohd Shareduwan Mohd Kasihmuddin

2025-06-11T07:30:44+00:00 ― 6 min read

Machine Learning Advancements in Language Model Training with Inverse Reinforcement Learning

A look into how IRL enhances language model performance and diversity.

Markus Wulfmeier, Michael Bloesch, Nino Vieillard

2025-06-11T05:00:32+00:00 ― 8 min read

Machine Learning Boosting Stability in SGD with Bootstrap Techniques

This paper explores how bootstrap methods enhance stability and robustness in SGD models.

Andreas Christmann, Yunwen Lei

2025-06-11T04:10:28+00:00 ― 5 min read

Machine Learning Advancements in Optimal Sampling for Approximation

An overview of optimal sampling methods in least-squares approximation.

Ben Adcock

2025-06-11T00:00:08+00:00 ― 7 min read

Instrumentation and Methods for Astrophysics Advancing Simulations in Physics with COCA

COCA improves simulations by integrating machine learning with physics for better accuracy.

Deaglan J. Bartlett, Marco Chiarenza, Ludvig Doeser

2025-06-10T21:29:56+00:00 ― 7 min read

Methodology Modeling Insurance Claims with BCART Techniques

Learn how BCART models improve claim prediction in insurance.

Yaojun Zhang, Lanpeng Ji, Georgios Aivaliotis

2025-06-10T14:49:24+00:00 ― 5 min read

Machine Learning Addressing Imbalanced Data in Case-Control Studies

This article discusses methods to improve estimates in case-control studies with imbalanced data.

Hengchao Shi, Ming Zheng, Wen Yu

2025-06-10T13:59:20+00:00 ― 4 min read

Methodology Advancing Causal Research with i-CMAXENT Method

A new method combines diverse data to better understand causal relationships.

Sergio Hernan Garrido Mejia, Elke Kirschbaum, Armin Kekić

2025-06-10T13:09:16+00:00 ― 6 min read

Data Structures and Algorithms Protecting Privacy with Differentially Private KDE

Learn how differential privacy enhances data analysis while safeguarding personal information.

Erzhi Liu, Jerry Yao-Chieh Hu, Alex Reneau

2025-06-10T12:19:12+00:00 ― 5 min read

Machine Learning Understanding Sparse Graphs Through Their Line Graphs

A look at how sparse graphs relate to their line graphs and properties.

Sevvandi Kandanaarachchi, Cheng Soon Ong

2025-06-10T11:29:08+00:00 ― 5 min read

Machine Learning Advancing Out-of-Distribution Detection Techniques

A new method enhances detection of unexpected data in machine learning models.

Yewen Li, Chaojie Wang, Xiaobo Xia

2025-06-10T04:48:36+00:00 ― 6 min read

Machine Learning Using Neural Networks for Bayesian Decision-Making

A new method improves decision-making analysis with neural networks in Bayesian frameworks.

Dominik Straub, Tobias F. Niehues, Jan Peters

2025-06-10T03:58:32+00:00 ― 9 min read

Machine Learning Advancing Predictions in Dynamical Systems with Mamba

Mamba offers a new way to analyze complex systems using machine learning.

Zheyuan Hu, Nazanin Ahmadi Daryakenari, Qianli Shen

2025-06-10T03:08:28+00:00 ― 7 min read

Machine Learning Improving Machine Learning Model Evaluation with Item Response Theory

A fresh approach to evaluating ML models using Item Response Theory for better insights.

Lucas Felipe Ferraro Cardoso, José de Sousa Ribeiro Filho, Vitor Cirilo Araujo Santos

2025-06-10T02:18:24+00:00 ― 5 min read

Machine Learning Adapting Data Analysis: Non-Stationary Multi-Output Gaussian Process

A flexible approach for analyzing changing relationships in multi-output data.

Wang Xinming, Li Yongxiang, Yue Xiaowei

2025-06-10T01:28:20+00:00 ― 5 min read

Machine Learning New Framework for Causal Learning in Time Series

A novel approach to understanding variable relationships in changing environments.

Xiangchen Song, Zijian Li, Guangyi Chen

2025-06-10T00:38:16+00:00 ― 6 min read

Machine Learning AdEMAMix: A New Optimizer for Machine Learning

AdEMAMix improves training efficiency by balancing recent and past gradients.

Matteo Pagliardini, Pierre Ablin, David Grangier

2025-06-09T23:48:12+00:00 ― 5 min read

Machine Learning Reassessing Confidence Intervals in Few-Shot Learning

A look at confidence intervals in few-shot learning and their impact on model evaluation.

Raphael Lafargue, Luke Smith, Franck Vermet

2025-06-09T22:58:08+00:00 ― 6 min read

Machine Learning Strengthening Time Series Classification Against Attacks

A new self-ensemble approach improves model resilience to adversarial changes.

Chang Dong, Zhengyang Li, Liangwei Zheng

2025-06-09T22:08:04+00:00 ― 6 min read