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regression

Papers

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Showing 7451–7500 of 9424 papers

TitleStatusHype
A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression—0
A mixed gas concentration regression prediction method based on RESHA-ALW—0
A Mixing Time Lower Bound for a Simplified Version of BART—0
Amobee at SemEval-2017 Task 4: Deep Learning System for Sentiment Detection on Twitter—0
A Model-Based Approach for Flight Delay Prediction—0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
A Model of Double Descent for High-dimensional Binary Linear Classification—0
A Momentum Accelerated Adaptive Cubic Regularization Method for Nonconvex Optimization—0
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations—0
Amrita_CEN at SemEval-2022 Task 4: Oversampling-based Machine Learning Approach for Detecting Patronizing and Condescending Language—0
Amrita_CEN at SemEval-2022 Task 6: A Machine Learning Approach for Detecting Intended Sarcasm using Oversampling—0
Amrita\_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets—0
AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture—0
A Multi-Agent Primal-Dual Strategy for Composite Optimization over Distributed Features—0
A Multiclass Classification Approach to Label Ranking—0
A Multi-Layer Regression based Predicable Function Fitting Network—0
A multilevel framework for sparse optimization with application to inverse covariance estimation and logistic regression—0
A Multimodal Deep Regression Bayesian Network for Affective Video Content Analyses—0
A Multi-objective Exploratory Procedure for Regression Model Selection—0
A Multi-Scale Tensor Network Architecture for Classification and Regression—0
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction—0
An Accurate and Efficient Large-scale Regression Method through Best Friend Clustering—0
An Action Recognition network for specific target based on rMC and RPN—0
An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
An Adversarial Approach to Evaluating the Robustness of Event Identification Models—0
An Aggregate and Iterative Disaggregate Algorithm with Proven Optimality in Machine Learning—0
An Aggregation Method for Sparse Logistic Regression—0
An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression—0
An algebraic-geometric approach for linear regression without correspondences—0
An Alternative Graphical Lasso Algorithm for Precision Matrices—0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting—0
Analysing Rhetorical Structure as a Key Feature of Summary Coherence—0
Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach—0
Analysis and Design of Quadratic Neural Networks for Regression, Classification, and Lyapunov Control of Dynamical Systems—0
Analysis and Mortality Prediction using Multiclass Classification for Older Adults with Type 2 Diabetes—0
Analysis of Biomass Sustainability Indicators from a Machine Learning Perspective—0
Analysis of cause-effect inference by comparing regression errors—0
Analysis of False Data Injection Impact on AI based Solar Photovoltaic Power Generation Forecasting—0
Analysis of Greenhouse Gases—0
Analysis of Interpolating Regression Models and the Double Descent Phenomenon—0
Analysis of Network Lasso for Semi-Supervised Regression—0
Analysis of overfitting in the regularized Cox model—0
Analysis of Overparameterization in Continual Learning under a Linear Model—0
Analysis of purely random forests bias—0
Analysis of Regression Tree Fitting Algorithms in Learning to Rank—0
Analysis of regularized Nyström subsampling for regression functions of low smoothness—0
Analysis of Sectoral Profitability of the Indian Stock Market Using an LSTM Regression Model—0
Analysis of the expected L_2 error of an over-parametrized deep neural network estimate learned by gradient descent without regularization—0
Analysis of the vulnerability of machine learning regression models to adversarial attacks using data from 5G wireless networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified