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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 926–950 of 10033 papers

TitleStatusHype
Online Capacity Scaling Augmented With Unreliable Machine Learning Predictions—0
A new boosting algorithm based on dual averaging scheme—0
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case—0
A New Framework for Distributed Submodular Maximization—0
A New Framework for Machine Intelligence: Concepts and Prototype—0
A Gated Recurrent Unit Approach to Bitcoin Price Prediction—0
A New Mathematical Model for Controlled Pandemics Like COVID-19 : AI Implemented Predictions—0
A new method for binary classification of proteins with Machine Learning—0
A New Perspective on Machine Learning: How to do Perfect Supervised Learning—0
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study—0
A new robust feature selection method using variance-based sensitivity analysis—0
A News-based Machine Learning Model for Adaptive Asset Pricing—0
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools—0
A New Security Boundary of Component Differentially Challenged XOR PUFs Against Machine Learning Modeling Attacks—0
A New Type of Neurons for Machine Learning—0
An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network—0
An Exercise Fatigue Detection Model Based on Machine Learning Methods—0
Accelerated Parallel Optimization Methods for Large Scale Machine Learning—0
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks—0
An Experimental Analysis of Work-Life Balance Among The Employees using Machine Learning Classifiers—0
A Generalized Meta-loss function for regression and classification using privileged information—0
An Experimental Study of Class Imbalance in Federated Learning—0
An Experimentation Platform for Explainable Coalition Situational Understanding—0
An experiment on the mechanisms of racial bias in ML-based credit scoring in Brazil—0
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified