regression

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 9326–9350 of 9424 papers

Title	Date	Tasks	Status
Convergent Fitted Value Iteration with Linear Function Approximation	Dec 1, 2011	regression	—Unverified
Regularized Laplacian Estimation and Fast Eigenvector Approximation	Dec 1, 2011	regression	—Unverified
Sparse Features for PCA-Like Linear Regression	Dec 1, 2011	regression	—Unverified
Learning Patient-Specific Cancer Survival Distributions as a Sequence of Dependent Regressors	Dec 1, 2011	regressionSurvival Analysis	—Unverified
Non-Asymptotic Analysis of Stochastic Approximation Algorithms for Machine Learning	Dec 1, 2011	BIG-bench Machine Learningregression	—Unverified
Projection onto A Nonnegative Max-Heap	Dec 1, 2011	regression	—Unverified
Gaussian Process Training with Input Noise	Dec 1, 2011	regression	—Unverified
Statistical Tests for Optimization Efficiency	Dec 1, 2011	regression	—Unverified
On Causal Discovery with Cyclic Additive Noise Models	Dec 1, 2011	Causal Discoveryregression	—Unverified
Efficient Regression in Metric Spaces via Approximate Lipschitz Extension	Nov 18, 2011	regression	—Unverified
Regression for sets of polynomial equations	Oct 20, 2011	regression	—Unverified
Gaussian Process Regression Networks	Oct 19, 2011	Gaussian Processesregression	CodeCode Available
Overlapping Mixtures of Gaussian Processes for the Data Association Problem	Aug 16, 2011	Gaussian ProcessesMulti-Object Tracking	—Unverified
Bayesian Learning via Stochastic Gradient Langevin Dynamics	Jul 28, 2011	regression	CodeCode Available
Random design analysis of ridge regression	Jun 13, 2011	LEMMAregression	—Unverified
Adaptive and optimal online linear regression on ^1-balls	May 20, 2011	regression	—Unverified
A Risk Comparison of Ordinary Least Squares vs Ridge Regression	May 4, 2011	regression	—Unverified
Sparsity regret bounds for individual sequences in online linear regression	Jan 5, 2011	regression	—Unverified
Software Effort Estimation with Ridge Regression and Evolutionary Attribute Selection	Dec 28, 2010	Attributeregression	—Unverified
Relaxed Clipping: A Global Training Method for Robust Regression and Classification	Dec 1, 2010	ClassificationGeneral Classification	—Unverified
A Dirty Model for Multi-task Learning	Dec 1, 2010	modelMulti-Task Learning	—Unverified
Efficient and Robust Feature Selection via Joint ℓ2,1-Norms Minimization	Dec 1, 2010	feature selectionregression	—Unverified
Heavy-Tailed Process Priors for Selective Shrinkage	Dec 1, 2010	Gaussian ProcessesGeneral Classification	—Unverified
Scrambled Objects for Least-Squares Regression	Dec 1, 2010	regression	—Unverified
Pose-Sensitive Embedding by Nonlinear NCA Regression	Dec 1, 2010	regression	—Unverified

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All datasets California Housing Prices Concrete Compressive Strength Medical Cost Personal Dataset Synthetic: y = x * sin x ADORE Car_Price_Prediction

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Neural Network	R2 Score	0.79	—	Unverified
2	Baseline Regression	R2 Score	0.58	—	Unverified
3	Mimic / Surrogate	R2 Score	0.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Neural Network	R2 Score	0.86	—	Unverified
2	Baseline Regression	R2 Score	0.59	—	Unverified
3	Mimic / Surrogate	R2 Score	0.58	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Neural Network	R2 Score	0.87	—	Unverified
2	Baseline Regression	R2 Score	0.78	—	Unverified
3	Mimic / Surrogate	R2 Score	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Neural Network	R2 Score	0.98	—	Unverified
2	Baseline Regression	R2 Score	-0.01	—	Unverified
3	Mimic / Surrogate	R2 Score	-0.01	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	XGBoost-MACCS	micro-averaged RMSE	0.93	—	Unverified
2	RF-ToxPrint	chemical macro-average RMSE	0.85	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Linear and Decision Tree Regression	R Squared	86.84	—	Unverified