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regression

Papers

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Showing 2851–2900 of 9424 papers

TitleStatusHype
Comparing Machine Learning-Centered Approaches for Forecasting Language Patterns During Frustration in Early Childhood—0
Comparing Expert Systems Built Using Different Uncertain Inference Systems—0
Approximating Optimal Estimation of Time Offset Synchronization with Temperature Variations—0
A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-dimensional American Options—0
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing—0
Comparative study of variational quantum circuit and quantum backpropagation multilayer perceptron for COVID-19 outbreak predictions—0
Approximate Steepest Coordinate Descent—0
Comparative Study of Parameter Selection for Enhanced Edge Inference for a Multi-Output Regression model for Head Pose Estimation—0
Comparative Studies of Unsupervised and Supervised Learning Methods based on Multimedia Applications—0
Approximate Leave-one-out Cross Validation for Regression with _1 Regularizers (extended version)—0
A Fuzzy-set-based Joint Distribution Adaptation Method for Regression and its Application to Online Damage Quantification for Structural Digital Twin—0
Comparative of Genetic Fuzzy regression techniques for aeroacoustic phenomenons—0
Comparative Fault Location Estimation by Using Image Processing in Mixed Transmission Lines—0
Comparative Evaluation of Applicability Domain Definition Methods for Regression Models—0
Comparative analysis using classification methods versus early stage diabetes—0
Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression—0
A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification—0
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction—0
Comparative analysis of Mixed-Data Sampling (MIDAS) model compared to Lag-Llama model for inflation nowcasting—0
Approximate Gaussian process inference for the drift function in stochastic differential equations—0
Comparative Analysis of Linear Regression, Gaussian Elimination, and LU Decomposition for CT Real Estate Purchase Decisions—0
Comparative Analysis of Data Preprocessing Methods, Feature Selection Techniques and Machine Learning Models for Improved Classification and Regression Performance on Imbalanced Genetic Data—0
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient—0
A Fundamental Accuracy--Robustness Trade-off in Regression and Classification—0
Comparative Analysis of Black Hole Mass Estimation in Type-2 AGNs: Classical vs. Quantum Machine Learning and Deep Learning Approaches—0
Community Time-Activity Trajectory Modelling based on Markov Chain Simulation and Dirichlet Regression—0
Communication-efficient sparse regression: a one-shot approach—0
Approximate cross-validation formula for Bayesian linear regression—0
A Functional Regression approach to Facial Landmark Tracking—0
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models—0
Accelerating L-shaped Two-stage Stochastic SCUC with Learning Integrated Benders Decomposition—0
Communication-Efficient l_0 Penalized Least Square—0
Approximate Bayes learning of stochastic differential equations—0
Communication Efficient Federated Learning for Generalized Linear Bandits—0
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees—0
Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference—0
A Functional Analysis Approach to Symbolic Regression—0
Communication Efficient Distributed Machine Learning with the Parameter Server—0
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss—0
Applying Regression Conformal Prediction with Nearest Neighbors to time series data—0
Comment on: Decomposition of structural learning about directed acyclic graphs [1]—0
Combining Prosodic, Voice Quality and Lexical Features to Automatically Detect Alzheimer's Disease—0
Applying Bayesian Ridge Regression AI Modeling in Virus Severity Prediction—0
A Fully-Automated Framework Integrating Gaussian Process Regression and Bayesian Optimization to Design Pin-Fins—0
Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks—0
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets—0
Combining Gradient Boosting Machines with Collective Inference to Predict Continuous Values—0
Combining Deep Learning and String Kernels for the Localization of Swiss German Tweets—0
Applications of Machine Learning in Fintech Credit Card Fraud Detection—0
Combining CNNs and Pattern Matching for Question Interpretation in a Virtual Patient Dialogue System—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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