SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 3726–3750 of 10033 papers

TitleStatusHype
Exploring Lexical and Syntactic Features for Language Variety Identification—0
Comparison of Classical and Nonlinear Models for Short-Term Electricity Price Prediction—0
Biased Models Have Biased Explanations—0
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning—0
Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety—0
Application of Machine Learning to Sleep Stage Classification—0
Deep-MAPS: Machine Learning based Mobile Air Pollution Sensing—0
Underestimation Bias and Underfitting in Machine Learning—0
Exponential Error Convergence in Data Classification with Optimized Random Features: Acceleration by Quantum Machine Learning—0
Bias in Machine Learning -- What is it Good for?—0
Comparison of Artificial Intelligence Techniques for Project Conceptual Cost Prediction—0
Exposing Hardware Building Blocks to Machine Learning Frameworks—0
Extending Automated Deduction for Commonsense Reasoning—0
Bias of Homotopic Gradient Descent for the Hinge Loss—0
Extending iLQR method with control delay—0
Extending machine learning classification capabilities with histogram reweighting—0
Extending the Abstraction of Personality Types based on MBTI with Machine Learning and Natural Language Processing—0
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context—0
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification—0
Extensions of Morse-Smale Regression with Application to Actuarial Science—0
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study—0
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning—0
Extracting Fairness Policies from Legal Documents—0
Extracting hypernym relations from Wikipedia disambiguation pages : comparing symbolic and machine learning approaches—0
Application of Machine Learning to Predict the Risk of Alzheimer's Disease: An Accurate and Practical Solution for Early Diagnostics—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified