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regression

Papers

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Showing 7351–7400 of 9424 papers

TitleStatusHype
A Generalized Online Mirror Descent with Applications to Classification and Regression—0
A generalized quadratic loss for SVM and Deep Neural Networks—0
A Generalized Representer Theorem for Hilbert Space - Valued Functions—0
A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines—0
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression—0
A Generalized Weighted Loss for SVC and MLP—0
A Generalized Weighted Optimization Method for Computational Learning and Inversion—0
A General Method for Robust Bayesian Modeling—0
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts—0
A General Theory for Structured Prediction with Smooth Convex Surrogates—0
A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
A Generic Regression Framework for Pose Recognition on Color and Depth Images—0
Double Descent Risk and Volume Saturation Effects: A Geometric Perspective—0
A Geometric take on Metric Learning—0
Age Progression and Regression with Spatial Attention Modules—0
Aggregating Data for Optimal and Private Learning—0
Aggregation as Unsupervised Learning and its Evaluation—0
Agile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point—0
A global approach for learning sparse Ising models—0
A Globally Convergent Estimator of the Parameters of the Classical Model of a Continuous Stirred Tank Reactor—0
Agnostic Learnability of Halfspaces via Logistic Loss—0
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms—0
Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression—0
Agnostic Proper Learning of Halfspaces under Gaussian Marginals—0
Agnostic Sample Compression Schemes for Regression—0
A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning—0
Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems—0
A Graph-Based Approach for Active Learning in Regression—0
A Greedy Homotopy Method for Regression with Nonconvex Constraints—0
A Greedy Search Tree Heuristic for Symbolic Regression—0
Agreement Prediction of Arguments in Cyber Argumentation for Detecting Stance Polarity and Intensity—0
A Grey-box Launch-profile Aware Model for C+L Band Raman Amplification—0
Agriculture Commodity Arrival Prediction using Remote Sensing Data: Insights and Beyond—0
A hidden process regression model for functional data description. Application to curve discrimination—0
A Hidden Variables Approach to Multilabel Logistic Regression—0
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation—0
A High-accuracy Calibration Method of Transient TSEPs for Power Semiconductor Devices—0
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression—0
A high performance globally exponentially stable sensorless observer for the IPMSM: Theoretical and experimental results—0
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models—0
A hybrid classification-regression approach for 3D hand pose estimation using graph convolutional networks—0
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification—0
A Hybrid Deep Learning Classification of Perimetric Glaucoma Using Peripapillary Nerve Fiber Layer Reflectance and Other OCT Parameters from Three Anatomy Regions—0
A Hybrid Framework for Sequential Data Prediction with End-to-End Optimization—0
A Hybrid Monte Carlo Architecture for Parameter Optimization—0
A hybrid pipeline of rules and machine learning to filter web-crawled parallel corpora—0
A Hypergradient Approach to Robust Regression without Correspondence—0
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers—0
AI-Based Channel Prediction in D2D Links: An Empirical Validation—0
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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