Statistics - Machine Learning

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Machine Learning Recurrent Neural Networks: A Deep Dive into Their Capabilities

Exploring the effectiveness and questions surrounding recurrent neural networks in sequential data processing.

Yuling Jiao, Yang Wang, Bokai Yan

2025-06-07T04:12:48+00:00 ― 6 min read

Machine Learning Advancing Experimental Design with IO-NPF Method

A new algorithm improves efficiency in Bayesian experimental design.

Sahel Iqbal, Hany Abdulsamad, Sara Pérez-Vieites

2025-06-07T02:32:40+00:00 ― 5 min read

Applications Harnessing Machine Learning for Seasonal Rainfall Predictions in East Africa

This study examines how machine learning can improve rainfall forecasts in East Africa.

Michael Scheuerer, Claudio Heinrich-Mertsching, Titike K. Bahaga

2025-06-07T00:52:32+00:00 ― 5 min read

Geophysics Improving Uncertainty Quantification in Seismic Inversion

A study on advanced techniques for better uncertainty analysis in seismic exploration.

Luping Qu, Mauricio Araya-Polo, Laurent Demanet

2025-06-07T00:02:28+00:00 ― 9 min read

Metric Geometry Partitioned Networks: Analyzing Complex Relationships

Explore how partitioned networks help us understand various complex relationships.

Stephen Y Zhang, Fangfei Lan, Youjia Zhou

2025-06-06T23:12:24+00:00 ― 5 min read

Econometrics Estimating Causal Relationships in Clustered Data

This work presents methods for analyzing causal functions in complex clustered data.

Nan Liu, Yanbo Liu, Yuya Sasaki

2025-06-06T21:32:16+00:00 ― 5 min read

Computation and Language Addressing Privacy Risks with Membership Inference Attacks

Explore the privacy concerns surrounding membership inference attacks in machine learning.

Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas

2025-06-06T19:52:08+00:00 ― 5 min read

Machine Learning Searching for New Particles in High-Energy Collisions

A look into methods for identifying potential new particles in particle physics.

Soheun Yi, John Alison, Mikael Kuusela

2025-06-06T18:12:00+00:00 ― 6 min read

Quantitative Methods New Method for Analyzing Cellular Interactions

Combining time-series and perturbation data improves understanding of cellular networks.

Stephen Y Zhang

2025-06-06T17:21:56+00:00 ― 8 min read

Machine Learning Advancements in Causal Inference with ps-BART Model

A new model improves treatment effect estimation in complex scenarios.

Hugo Gobato Souto, Francisco Louzada Neto

2025-06-06T15:41:48+00:00 ― 6 min read

Machine Learning Integrating Physics with Deep Learning Techniques

Combining physics models and deep learning to improve predictions and manage uncertainty.

Alex Glyn-Davies, Arnaud Vadeboncoeur, O. Deniz Akyildiz

2025-06-06T14:51:44+00:00 ― 5 min read

Machine Learning Neural Networks: A Practical Overview

Learn the basics of neural networks and their applications across various fields.

Martín Hernández, Enrique Zuazua

2025-06-06T14:01:40+00:00 ― 4 min read

Optimization and Control Evolving Trade Dynamics in a Complex World

Examining new methods and factors affecting global trade patterns.

Thomas Gaskin, Marie-Therese Wolfram, Andrew Duncan

2025-06-06T13:11:36+00:00 ― 5 min read

Trading and Market Microstructure Using K-NN Resampling to Simulate Limit Order Books

Learn how K-NN resampling can improve trading strategies using historical data.

Michael Giegrich, Roel Oomen, Christoph Reisinger

2025-06-06T12:21:32+00:00 ― 5 min read

Machine Learning E2Tree: A Clearer Path in Ensemble Learning

E2Tree enhances explainability in ensemble models, improving insights into decision-making processes.

Massimo Aria, Agostino Gnasso, Carmela Iorio

2025-06-06T11:31:28+00:00 ― 6 min read

Machine Learning Advanced Target Tracking in Sensor Networks

New distributed methods enhance target tracking while reducing energy costs.

Xingchi Liu, Lyudmila Mihaylova, Jemin George

2025-06-06T07:21:08+00:00 ― 5 min read

Machine Learning Advancements in Automating Interaction Discovery

New methods automate the discovery of interactions in complex systems.

Zuheng, Xu, Moksh Jain

2025-06-06T05:41:00+00:00 ― 6 min read

Machine Learning Advancing Language Models with Synthetic Pretraining

New method improves language models' knowledge from limited data.

Zitong Yang, Neil Band, Shuangping Li

2025-06-06T04:50:56+00:00 ― 7 min read

Machine Learning Manifold Learning and Knowledge Transfer in Machine Learning

Exploring how data structure impacts machine learning performance.

E. Tron, E. Fioresi

2025-06-06T04:00:52+00:00 ― 4 min read

Machine Learning Advancements in Molecular Generation Using Training-Free Guidance

Discover how training-free guidance is transforming molecular generation with discrete diffusion models.

Thomas J. Kerby, Kevin R. Moon

2025-06-06T03:10:48+00:00 ― 5 min read

Machine Learning Streamlined Method for Outlier Management in Data Analysis

A new approach to handle data with outliers efficiently.

Lakshmi Jayalal, Gokularam Muthukrishnan, Sheetal Kalyani

2025-06-06T02:20:44+00:00 ― 5 min read

Machine Learning Personalised Federated Learning via Multi-Armed Bandit Approach

A new method balances personalisation and privacy in federated learning.

Ali Arabzadeh, James A. Grant, David S. Leslie

2025-06-06T01:30:40+00:00 ― 8 min read

Machine Learning Advancements in Selectivity Learning for Databases

New methods improve query selectivity predictions using machine learning techniques.

Peizhi Wu, Haoshu Xu, Ryan Marcus

2025-06-05T23:50:32+00:00 ― 6 min read

Methodology Advancements in Gaussian Process Methods for Data Analysis

Discover the key benefits and applications of Gaussian Process methods in various fields.

Chenyi Lyu, Xingchi Liu, Lyudmila Mihaylova

2025-06-05T23:00:28+00:00 ― 5 min read

Machine Learning Improving Anomaly Detection with Neural Networks

This article discusses enhancing unsupervised anomaly detection using classification methods.

Tian-Yi Zhou, Matthew Lau, Jizhou Chen

2025-06-05T19:40:12+00:00 ― 6 min read

Human-Computer Interaction Visualizing Uncertainty in Scientific Data

Exploring methods to represent uncertainty in scientific data visualizations.

Robert Sisneros, Tushar M. Athawale, David Pugmire

2025-06-05T18:50:08+00:00 ― 5 min read

Machine Learning CausalBench: A New Tool for Causal Learning

CausalBench helps researchers study cause-and-effect relationships using data effectively.

Ahmet Kapkiç, Pratanu Mandal, Shu Wan

2025-06-05T18:00:04+00:00 ― 5 min read

Machine Learning Machine Learning Methods for Two-Sample Testing with Censored Data

Innovative approaches enhance statistical testing accuracy with incomplete data.

Petr Philonenko, Sergey Postovalov

2025-06-05T17:10:00+00:00 ― 7 min read

Machine Learning Improving Data Sampling with Localization Techniques

Local sampling offers a new way to handle complex data efficiently.

Georg A. Gottwald, Sebastian Reich

2025-06-05T16:19:56+00:00 ― 6 min read

Machine Learning Advancements in Functional Data Analysis for Environmental Data

New methods enhance analysis of environmental data using functional representations.

Donato Riccio, Fabrizio Maturo, Elvira Romano

2025-06-05T15:29:52+00:00 ― 8 min read

Cosmology and Nongalactic Astrophysics Advancements in Galaxy Modeling with CHARM

Researchers develop CHARM for faster galaxy distribution analysis using dark matter data.

Shivam Pandey, Chirag Modi, Benjamin D. Wandelt

2025-06-05T07:59:16+00:00 ― 7 min read

Machine Learning Advancements in Estimating Question Difficulty Using Active Learning

This research explores active learning methods to estimate question difficulty efficiently.

Arthur Thuy, Ekaterina Loginova, Dries F. Benoit

2025-06-05T05:29:04+00:00 ― 6 min read

Machine Learning Improving Decision-Making with OBSI Algorithm

OBSI enhances decision-making by focusing on relevant features in online settings.

Rowan Swiers, Subash Prabanantham, Andrew Maher

2025-06-05T04:39:00+00:00 ― 5 min read

Machine Learning Enhancing Clustering Techniques with Bayesian Methods

A new approach improves clustering results using Bayesian bootstrap.

Federico Maria Quetti, Silvia Figini, Elena ballante

2025-06-05T03:48:56+00:00 ― 6 min read

Machine Learning Introducing Multi-Forests for Multi-Class Outcomes

A new method to analyze multiple class outcomes using variable importance measures.

Roman Hornung, Alexander Hapfelmeier

2025-06-05T02:58:52+00:00 ― 5 min read

Machine Learning Improving Data Imputation with LSSDM

LSSDM offers an effective solution for filling gaps in multivariate time series data.

Guojun Liang, Najmeh Abiri, Atiye Sadat Hashemi

2025-06-05T02:08:48+00:00 ― 5 min read

Machine Learning New Method for Uncertainty in AI Predictions

A new approach improves how AI assesses uncertainty in predictions.

Taeseong Yoon, Heeyoung Kim

2025-06-04T23:38:36+00:00 ― 6 min read

Machine Learning Ensuring Fairness in Data with FVNNs

FVNNs provide a fair approach to data analysis and predictions.

Andrea Cavallo, Madeline Navarro, Santiago Segarra

2025-06-04T22:48:32+00:00 ― 4 min read

Cryptography and Security Protecting Privacy with Differential Privacy

A look at how differential privacy safeguards individual data in a data-driven world.

Weijie J. Su

2025-06-04T17:48:08+00:00 ― 6 min read

Machine Learning Hypergraphs: A New Lens on Data Complexity

Hypergraphs and diffusion wavelets offer deeper insights into complex data interactions.

Xingzhi Sun, Charles Xu, João F. Rocha

2025-06-04T16:08:00+00:00 ― 5 min read