SOTAVerified

regression

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7301–7350 of 9424 papers

TitleStatusHype
Permuted and Augmented Stick-Breaking Bayesian Multinomial Regression—0
Permuted and Unlinked Monotone Regression in R^d: an approach based on mixture modeling and optimal transport—0
Persistent Homology in Sparse Regression and Its Application to Brain Morphometry—0
Personality Profiling: How informative are social media profiles in predicting personal information?—0
Personalizing Performance Regression Models to Black-Box Optimization Problems—0
Person Re-Identification in Identity Regression Space—0
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples—0
Perturbed Gibbs Samplers for Synthetic Data Release—0
Petrophysical Property Estimation from Seismic Data Using Recurrent Neural Networks—0
PETScML: Second-order solvers for training regression problems in Scientific Machine Learning—0
PETS-SWINF: A regression method that considers images with metadata based Neural Network for pawpularity prediction on 2021 Kaggle Competition "PetFinder.my"—0
P(Expression|Grammar): Probability of deriving an algebraic expression with a probabilistic context-free grammar—0
Phase I Analysis of Individual Observations with Missing Data—0
Phase transitions for high-dimensional joint support recovery—0
Phenotyping OSA: a time series analysis using fuzzy clustering and persistent homology—0
Phone Duration Modeling for Speaker Age Estimation in Children—0
Photometric Stereo using Constrained Bivariate Regression for General Isotropic Surfaces—0
Physical Constraint Embedded Neural Networks for inference and noise regulation—0
Physics-Aware Gaussian Processes in Remote Sensing—0
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence—0
Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis—0
Physics-informed features in supervised machine learning—0
Physics-Informed Gaussian Process Regression for Probabilistic States Estimation and Forecasting in Power Grids—0
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC—0
Physics-informed machine learning for Structural Health Monitoring—0
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields—0
Physics Symbolic Learner for Discovering Ground-Motion Models Via NGA-West2 Database—0
PIANO: A Fast Parallel Iterative Algorithm for Multinomial and Sparse Multinomial Logistic Regression—0
Unknown Piecewise Constant Parameters Identification with Exponential Rate of Convergence—0
Piecewise constant tuning gain based singularity-free MRAC with application to aircraft control systems—0
Piecewise linear regression and classification—0
Piecewise Polynomial Regression of Tame Functions via Integer Programming—0
Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning—0
Piecewise regression mixture for simultaneous functional data clustering and optimal segmentation—0
PIHKers at CMCL 2021 Shared Task: Cosine Similarity and Surprisal to Predict Human Reading Patterns.—0
PINFER: Privacy-Preserving Inference for Machine Learning—0
PIPPI2021: An Approach to Automated Diagnosis and Texture Analysis of the Fetal Liver & Placenta in Fetal Growth Restriction—0
PIQI: Perceptual Image Quality Index based on Ensemble of Gaussian Process Regression—0
Pi theorem formulation of flood mapping—0
Nonparametric Cointegrating Regression Functions with Endogeneity and Semi-Long Memory—0
Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation—0
Pixel-wise Segmentation of Street with Neural Networks—0
Plane-extraction from depth-data using a Gaussian mixture regression model—0
Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models—0
Plausible Uncertainties for Human Pose Regression—0
PLN-PUCRS at EmoInt-2017: Psycholinguistic features for emotion intensity prediction in tweets—0
PLRD: Partially Linear Regression Discontinuity Inference—0
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and #hashtags—0
PlusEmo2Vec at SemEval-2018 Task 1: Exploiting emotion knowledge from emoji and \#hashtags—0
PLUTO: Penalized Unbiased Logistic Regression Trees—0
Show:102550
← PrevPage 147 of 189Next →
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