regression

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 9376–9400 of 9424 papers

Title	Date	Tasks	Status
Learning Non-Linear Combinations of Kernels	Dec 1, 2009	regression	—Unverified
Lattice Regression	Dec 1, 2009	Managementregression	—Unverified
Nonparametric Greedy Algorithms for the Sparse Learning Problem	Dec 1, 2009	Additive modelsregression	—Unverified
From PAC-Bayes Bounds to KL Regularization	Dec 1, 2009	regression	—Unverified
Manifold Regularization for SIR with Rate Root-n Convergence	Dec 1, 2009	regression	—Unverified
Augmenting Feature-driven fMRI Analyses: Semi-supervised learning and resting state activity	Dec 1, 2009	regression	—Unverified
Directed Regression	Dec 1, 2009	regression	—Unverified
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction	Dec 1, 2009	Dimensionality Reductionregression	—Unverified
Fast, smooth and adaptive regression in metric spaces	Dec 1, 2009	regression	—Unverified
Generalization Errors and Learning Curves for Regression with Multi-task Gaussian Processes	Dec 1, 2009	Gaussian Processesregression	—Unverified
Compressed Least-Squares Regression	Dec 1, 2009	regression	—Unverified
Grouped Orthogonal Matching Pursuit for Variable Selection and Prediction	Dec 1, 2009	feature selectionPrediction	—Unverified
Robust Nonparametric Regression with Metric-Space Valued Output	Dec 1, 2009	General ClassificationMulti-class Classification	—Unverified
Data-driven calibration of linear estimators with minimal penalties	Dec 1, 2009	Model Selectionregression	—Unverified
Effectiveness and Limitations of Statistical Spam Filters	Oct 14, 2009	regression	—Unverified
A path algorithm for the Fused Lasso Signal Approximator	Oct 3, 2009	regression	CodeCode Available
Sparsistent Estimation of Time-Varying Discrete Markov Random Fields	Jul 14, 2009	regressionTime Series	—Unverified
Dlib-ml: A Machine Learning Toolkit	Jan 1, 2009	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available
Efficient Sampling for Gaussian Process Inference using Control Variables	Dec 1, 2008	General Classificationregression	—Unverified
Localized Sliced Inverse Regression	Dec 1, 2008	Dimensionality ReductionGeneral Classification	—Unverified
Non-parametric Regression Between Manifolds	Dec 1, 2008	regression	—Unverified
Nonparametric regression and classification with joint sparsity constraints	Dec 1, 2008	Additive modelsClassification	—Unverified
Local Gaussian Process Regression for Real Time Online Model Learning	Dec 1, 2008	GPRPrediction	—Unverified
Phase transitions for high-dimensional joint support recovery	Dec 1, 2008	regressionTransfer Learning	—Unverified
Sparse Convolved Gaussian Processes for Multi-output Regression	Dec 1, 2008	Gaussian Processesregression	—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