Prediction Accuracy

Prediction accuracy, the degree to which a model correctly anticipates outcomes, is a central concern across diverse scientific fields. Current research emphasizes improving accuracy by addressing challenges like data distribution shifts (e.g., using ensemble methods and uncertainty quantification with neural networks), mitigating randomness in data splitting (e.g., through interval estimation), and optimizing model efficiency (e.g., via adaptive basis function selection or hardware-aware ensemble selection). These advancements are crucial for enhancing the reliability and applicability of predictive models in various domains, from healthcare diagnostics to financial forecasting and autonomous systems.

Papers

May 19, 2023

Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern
Meijia Shao, Yuan Zhang
Conformal Prediction Prediction Accuracy Distribution Free Missingness Pattern Algorithmic Stability

May 14, 2023

Unraveling Cold Start Enigmas in Predictive Analytics for OTT Media: Synergistic Meta-Insights and Multimodal Ensemble Mastery
K. Ganguly, A. Patra
Predictive Model Model Selection Prediction Accuracy Ensemble Approach Synergistic Information Cold Start Novel Over the Air Second Multi Model Ensemble

May 13, 2023

Bridging History with AI A Comparative Evaluation of GPT 3.5, GPT4, and GoogleBARD in Predictive Accuracy and Fact Checking
Davut Emre Tasar, Ceren Ocal Tasar
Large Language Model Artificial Intelligence GPT 4 Fact Checking GPT Neo Prediction Accuracy Knowledge Gap History Representation

April 30, 2023

Time series clustering based on prediction accuracy of global forecasting models
Ángel López Oriona, Pablo Montero Manso, José Antonio Vilar Fernández
Prediction Accuracy Time Series Clustering Global Forecasting Clustering Performance Model Based Clustering Divisive Hierarchical Clustering Algorithm

April 24, 2023

Incorporating Experts' Judgment into Machine Learning Models
Hogun Park, Aly Megahed, Peifeng Yin, Yuya Ong, Pravar Mahajan, Pei Guo
Machine Learning Generative Adversarial Network Machine Learning Model Human Prediction Expert Knowledge Prediction Accuracy Human Intuition Legal Judgment

April 15, 2023

Learning in latent spaces improves the predictive accuracy of deep neural operators
Katiana Kontolati, Somdatta Goswami, George Em Karniadakis, Michael D. Shields
LeArning Abstract Deep Neural Network Latent Space Neural Operator Deep Operator Network Prediction Accuracy High Dimensional Partial Differential Equation Deep Neural Operator Operator Regression

January 27, 2023

Conformal inference is (almost) free for neural networks trained with early stopping
Ziyi Liang, Yanfei Zhou, Matteo Sesia
Neural Network Prediction Accuracy Early Stopping Conformal Inference Regularization Method Conformal Regression Holdout Set

January 17, 2023

Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models
Gihan Panapitiya, Emily Saldanha
Machine Learning Model Feature Space Internet Service Domain Prediction Accuracy Model Prediction Material Property Prediction Applicability Study

December 8, 2022

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks
Yanhua Liu, Xitong Zhang, Ilya Tsvankin, Youzuo Lin
Convolutional Neural Network Uncertainty Quantification Prediction Accuracy Real Data Carbon Capture Seismic Inversion Carbon Sequestration

December 1, 2022

A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease
Md. Sharifur Rahman, Professor Girijesh Prasad
Machine Learning Alzheimer'S Disease Simple Classifier Prediction Accuracy Random Forest Classifier Accurate Disease Disease Diagnosis

November 14, 2022

Recognition of Cardiac MRI Orientation via Deep Neural Networks and a Method to Improve Prediction Accuracy
Houxin Zhou
Deep Neural Network Practical Method Recognition Rate Cardiac Magnetic Resonance Prediction Accuracy Medical Image Analysis Task Transfer Learning Strategy Cardiac MRI Orientation

October 18, 2022

Clustering-based Aggregations for Prediction in Event Streams
Yorick Spenrath, Marwan Hassani, Boudewijn F. Van Dongen
Human Prediction Predictive Model Prediction Accuracy accuratE Prediction Event Stream Customer Behavior Two Stage Aggregation Shopping Intent

October 11, 2022

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
Neeraj Varshney, Chitta Baral
High Efficiency Large Model Predictive Performance Prediction Accuracy Cascade Model

October 5, 2022

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering
Ángel González-Prieto, Abraham Gutiérrez, Fernando Ortega, Raúl Lara-Cabrera
Classification Code Recommender System Matrix Factorization Collaborative Filtering Recommendation Model Prediction Accuracy Recommendation Quality

August 2, 2022

What can we Learn by Predicting Accuracy?
Olivier Risser-Maroix, Benjamin Chamand
Machine Learning Loss Function Symbolic Regression Prediction Accuracy Statistical Learning Theory

July 26, 2022

When BERT Fails -- The Limits of EHR Classification
Augusto Garcia-Agundez, Carsten Eickhoff
Transformer Megatron Decepticons Electronic Health Record Ticket BERT Continuum Limit Text Representation Prediction Accuracy Clinical Decision Support Readmission Prediction

July 15, 2022

Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition
Masih Haseli, Jorge Cortés
Dynamical System Extended Version Dynamic Mode Decomposition Prediction Accuracy Temporal Consistency Data Driven Modeling Residual Error

June 26, 2022

Prediction Errors for Penalized Regressions based on Generalized Approximate Message Passing
Ayaka Sakata
Maximum Likelihood Prediction Accuracy Statistical Model Generalized Linear Model Prediction Error Approximate Message

June 1, 2022

Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora
Monica Puerto, Mason Kellett, Rodanthi Nikopoulou, Mark D. Fuge, Ruth Doherty, Peter W. Chung, Zois Boukouvalas
Inherent Interpretability Energy Policy Research Topic Detection Prediction Accuracy Energy Data Energetic Material

May 4, 2022

Prediction of fish location by combining fisheries data and sea bottom temperature forecasting
Matthieu Ospici, Klaas Sys, Sophie Guegan-Marat
Human Prediction Prediction Accuracy ANGLEr Behavior Fish Tracking Environmental Data Subsurface Temperature

Prediction Accuracy

Papers

Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern

Unraveling Cold Start Enigmas in Predictive Analytics for OTT Media: Synergistic Meta-Insights and Multimodal Ensemble Mastery

Bridging History with AI A Comparative Evaluation of GPT 3.5, GPT4, and GoogleBARD in Predictive Accuracy and Fact Checking

Time series clustering based on prediction accuracy of global forecasting models

Incorporating Experts' Judgment into Machine Learning Models

Learning in latent spaces improves the predictive accuracy of deep neural operators

Conformal inference is (almost) free for neural networks trained with early stopping

Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models

Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks

A Comprehensive Study on Machine Learning Methods to Increase the Prediction Accuracy of Classifiers and Reduce the Number of Medical Tests Required to Diagnose Alzheimer'S Disease

Recognition of Cardiac MRI Orientation via Deep Neural Networks and a Method to Improve Prediction Accuracy

Clustering-based Aggregations for Prediction in Event Streams

Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems

Restricted Bernoulli Matrix Factorization: Balancing the trade-off between prediction accuracy and coverage in classification based collaborative filtering

What can we Learn by Predicting Accuracy?

When BERT Fails -- The Limits of EHR Classification

Temporal Forward-Backward Consistency, Not Residual Error, Measures the Prediction Accuracy of Extended Dynamic Mode Decomposition

Prediction Errors for Penalized Regressions based on Generalized Approximate Message Passing

Assessing the trade-off between prediction accuracy and interpretability for topic modeling on energetic materials corpora

Prediction of fish location by combining fisheries data and sea bottom temperature forecasting