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regression

Papers

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Showing 4351–4400 of 9424 papers

TitleStatusHype
Theoretical and Empirical Advances in Forest Pruning—0
Interpolated Discretized Embedding of Single Vectors and Vector Pairs for Classification, Metric Learning and Distance Approximation—0
Improving the Generalization Ability in Essay Coherence Evaluation through Monotonic Constraints—0
Improving the generalization of network based relative pose regression: dimension reduction as a regularizer—0
Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability—0
Improving the Performance of Neural Networks in Regression Tasks Using Drawering—0
Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection—0
Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners—0
Implicit Bias and Fast Convergence Rates for Self-attention—0
Improving Vertical Positioning Accuracy with the Weighted Multinomial Logistic Regression Classifier—0
Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments—0
Impulse response estimation via flexible local projections—0
Imputation for High-Dimensional Linear Regression—0
Imputation of Missing Streamflow Data at Multiple Gauging Stations in Benin Republic—0
Imputation of missing values in multi-view data—0
Imputing missing values with unsupervised random trees—0
Implementing Fair Regression In The Real World—0
In almost all shallow analytic neural network optimization landscapes, efficient minimizers have strongly convex neighborhoods—0
Incivility Detection in Online Comments—0
incom.py 2.0 - Calculating Linguistic Distances and Asymmetries in Auditory Perception of Closely Related Languages—0
In-Context Learning for Attention Scheme: from Single Softmax Regression to Multiple Softmax Regression via a Tensor Trick—0
Explaining Emergent In-Context Learning as Kernel Regression—0
Debiased high-dimensional regression calibration for errors-in-variables log-contrast models—0
DAPLSR: Data Augmentation Partial Least Squares Regression Model via Manifold Optimization—0
Incorporating Background Knowledge in Symbolic Regression using a Computer Algebra System—0
Incorporating domain knowledge into neural-guided search—0
Incorporating domain knowledge into neural-guided search via in situ priors and constraints—0
Inference on Strongly Identified Functionals of Weakly Identified Functions—0
Incorporating LLM Priors into Tabular Learners—0
Incorporating Machine Learning to Evaluate Solutions to the University Course Timetabling Problem—0
Incremental few-shot learning via vector quantization in deep embedded space—0
Incremental Learning in Diagonal Linear Networks—0
Incremental Learning-to-Learn with Statistical Guarantees—0
Incremental Local Gaussian Regression—0
Debiasing Continuous-time Nonlinear Autoregressions—0
Incremental Variational Sparse Gaussian Process Regression—0
Incremento del precio de los combustibles y su incidencia en los productos de la canasta basica del canton el triunfo, provincia del guayas—0
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference—0
Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure—0
Independently Interpretable Lasso: A New Regularizer for Sparse Regression with Uncorrelated Variables—0
Individual Calibration with Randomized Forecasting—0
Decentralized Online Learning with Kernels—0
Individual Tooth Detection and Identification from Dental Panoramic X-Ray Images via Point-wise Localization and Distance Regularization—0
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity—0
INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction—0
A temporal model for multiple sclerosis course evolution—0
Inference at the data's edge: Gaussian processes for modeling and inference under model-dependency, poor overlap, and extrapolation—0
Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds—0
A Survey on Ordinal Regression: Applications, Advances and Prospects—0
Implementing an Improved Test of Matrix Rank in Stata—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