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regression

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Showing 9151–9200 of 9424 papers

TitleStatusHype
Regression Trees for Longitudinal Data—0
Causal Discovery with Continuous Additive Noise Models—0
Reasoning about Probabilities in Dynamic Systems using Goal Regression—0
Random Forests on Distance Matrices for Imaging Genetics Studies—0
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset—0
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization—0
A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries—0
Learning from the past, predicting the statistics for the future, learning an evolving systemCode0
Compound Poisson Processes, Latent Shrinkage Priors and Bayesian Nonconvex Penalization—0
Likelihood Adaptively Modified Penalties—0
Hidden Parameter Markov Decision Processes: A Semiparametric Regression Approach for Discovering Latent Task Parametrizations—0
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models—0
High-Dimensional Regression with Gaussian Mixtures and Partially-Latent Response Variables—0
Invariances of random fields paths, with applications in Gaussian Process Regression—0
On b-bit min-wise hashing for large-scale regression and classification with sparse data—0
Empirical entropy, minimax regret and minimax risk—0
Co-Regression for Cross-Language Review Rating Prediction—0
Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression—0
Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso—0
Likelihood-ratio calibration using prior-weighted proper scoring rules—0
Infinite Mixtures of Multivariate Gaussian Processes—0
A convex pseudo-likelihood framework for high dimensional partial correlation estimation with convergence guarantees—0
A Safe Screening Rule for Sparse Logistic Regression—0
Minimum Distance Estimation for Robust High-Dimensional Regression—0
Fast gradient descent for drifting least squares regression, with application to bandits—0
Achieving greater Explanatory Power and Forecasting Accuracy with Non-uniform spread Fuzzy Linear Regression—0
Loss minimization and parameter estimation with heavy tails—0
AdaBoost and Forward Stagewise Regression are First-Order Convex Optimization Methods—0
Semi-supervised Ranking Pursuit—0
A non-parametric conditional factor regression model for high-dimensional input and response—0
Comparing various regression methods on ensemble strategies in differential evolution—0
Simple one-pass algorithm for penalized linear regression with cross-validation on MapReduce—0
Correlated random features for fast semi-supervised learning—0
Model Reframing by Feature Context Change—0
Optimal computational and statistical rates of convergence for sparse nonconvex learning problems—0
Joint estimation of sparse multivariate regression and conditional graphical models—0
Stability of Multi-Task Kernel Regression Algorithms—0
Spectral Experts for Estimating Mixtures of Linear Regressions—0
Early stopping and non-parametric regression: An optimal data-dependent stopping rule—0
Sparse Auto-Regressive: Robust Estimation of AR Parameters—0
Randomized maximum-contrast selection: subagging for large-scale regression—0
Relaxed Sparse Eigenvalue Conditions for Sparse Estimation via Non-convex Regularized Regression—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression—0
DISCOMAX: A Proximity-Preserving Distance Correlation Maximization Algorithm—0
Concentration bounds for temporal difference learning with linear function approximation: The case of batch data and uniform sampling—0
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)—0
Prediction with Missing Data via Bayesian Additive Regression Trees—0
KLUE-CORE: A regression model of semantic textual similarity—0
Real-Time No-Reference Image Quality Assessment Based on Filter Learning—0
Cumulative Attribute Space for Age and Crowd Density Estimation—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