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regression

Papers

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Showing 6851–6900 of 9424 papers

TitleStatusHype
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data—0
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction—0
Universal Bounding Box Regression and Its Applications—0
Variational Bayes for high-dimensional linear regression with sparse priors—0
Comparison of statistical post-processing methods for probabilistic NWP forecasts of solar radiation—0
Analysis of overfitting in the regularized Cox model—0
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)—0
Geometry-Aware Maximum Likelihood Estimation of Intrinsic DimensionCode0
Tensor Sparse PCA and Face Recognition: A Novel Approach—0
Distribution Regression in Duration Analysis: an Application to Unemployment SpellsCode0
Variational AutoEncoder For Regression: Application to Brain Aging AnalysisCode0
Curriculum semi-supervised segmentationCode0
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic FeaturesCode0
Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-SpheresCode0
Low-cost spectrogram based counterfeit medicine detection—0
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task—0
Uncertainty Measures and Prediction Quality Rating for the Semantic Segmentation of Nested Multi Resolution Street Scene ImagesCode0
Regression Concept Vectors for Bidirectional Explanations in HistopathologyCode0
Evaluating Competence Measures for Dynamic Regressor Selection—0
MVF-Net: Multi-View 3D Face Morphable Model RegressionCode0
Component-Wise Boosting of Targets for Multi-Output Prediction—0
Crosslingual Document Embedding as Reduced-Rank Ridge RegressionCode0
Fast Supervised Discrete Hashing—0
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts—0
Supervised Discrete Hashing with Relaxation—0
Team QCRI-MIT at SemEval-2019 Task 4: Propaganda Analysis Meets Hyperpartisan News Detection—0
A Novel Neural Network-Based Symbolic Regression Method: Neuro-Encoded Expression Programming—0
Logitron: Perceptron-augmented classification model based on an extended logistic loss function—0
Weighted Automata Extraction from Recurrent Neural Networks via Regression on State Spaces—0
Artificial Neural Network Modeling for Path Loss Prediction in Urban EnvironmentsCode0
Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range—0
Empirical Study of Deep Learning for Text Classification in Legal Document Review—0
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models—0
Identification, Interpretability, and Bayesian Word EmbeddingsCode0
Generating Labels for Regression of Subjective Constructs using Triplet Embeddings—0
Sequential Adaptive Design for Jump Regression Estimation—0
3DRegNet: A Deep Neural Network for 3D Point RegistrationCode0
Point in, Box out: Beyond Counting Persons in Crowds—0
FEAFA: A Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation—0
Probabilistic Regression of Rotations using Quaternion Averaging and a Deep Multi-Headed Network—0
Tree Search Network for Sparse Regression—0
Adaptive Bayesian Linear Regression for Automated Machine Learning—0
Fourier Transform Approach to Machine Learning I: Fourier Regression—0
Sparse Tensor Additive Regression—0
Online Multi-target regression trees with stacked leaf models—0
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGANCode0
A proof of convergence of multi-class logistic regression network—0
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression—0
Using Gaussian process regression for efficient parameter reconstruction—0
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems—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