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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 7826–7850 of 10033 papers

TitleStatusHype
Machine learning for predicting thermal power consumption of the Mars Express SpacecraftCode0
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning—0
Stock price prediction using support vector regression on daily and up to the minute prices—0
A Machine Learning Driven IoT Solution for Noise Classification in Smart Cities—0
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti—0
A novel graph-based model for hybrid recommendations in cold-start scenarios—0
Speaker Fluency Level Classification Using Machine Learning TechniquesCode0
Characterizing classification datasets: a study of meta-features for meta-learningCode1
Baidu Apollo Auto-Calibration System - An Industry-Level Data-Driven and Learning based Vehicle Longitude Dynamic Calibrating AlgorithmCode0
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy—0
Application of Machine Learning in Rock Facies Classification with Physics-Motivated Feature AugmentationCode0
Nonlinear regression based on a hybrid quantum computer—0
The implicit fairness criterion of unconstrained learning—0
Cognitive Action Laws: The Case of Visual Features—0
Iterative multi-path tracking for video and volume segmentation with sparse point supervision—0
Extracting Sentiment Attitudes From Analytical TextsCode0
Adversarially Regularising Neural NLI Models to Integrate Logical Background KnowledgeCode0
A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving—0
Road User Abnormal Trajectory Detection using a Deep AutoencoderCode0
Unknown Examples & Machine Learning Model Generalization—0
Using Apple Machine Learning Algorithms to Detect and Subclassify Non-Small Cell Lung CancerCode0
Towards Machine Learning-Based Optimal HASCode0
An Empirical Study of Rich Subgroup Fairness for Machine LearningCode0
STDP Learning of Image Patches with Convolutional Spiking Neural Networks—0
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified