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regression

Papers

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Showing 7951–7975 of 9424 papers

TitleStatusHype
Emotion Intensities in TweetsCode0
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery—0
Robust polynomial regression up to the information theoretic limit—0
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is lowCode0
When Is the First Spurious Variable Selected by Sequential Regression Procedures?—0
Nonconvex Sparse Logistic Regression with Weakly Convex Regularization—0
Multiresolution Kernel Approximation for Gaussian Process RegressionCode0
Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network—0
Interpretable Low-Dimensional Regression via Data-Adaptive Smoothing—0
Detecting Noteheads in Handwritten Scores with ConvNets and Bounding Box Regression—0
Query-guided Regression Network with Context Policy for Phrase Grounding—0
Streaming kernel regression with provably adaptive mean, variance, and regularization—0
Sparse model selection via integral terms—0
Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification—0
Macquarie University at BioASQ 5b -- Query-based Summarisation Techniques for Selecting the Ideal Answers—0
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity—0
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news—0
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control—0
High-Dimensional Structured Quantile Regression—0
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement—0
Neural Rating Regression with Abstractive Tips Generation for Recommendation—0
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles—0
Breaking the curse of dimensionality in regression—0
IITPB at SemEval-2017 Task 5: Sentiment Prediction in Financial Text—0
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

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