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Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles - Abstract & Introduction

Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles - Abstract & Introduction

Added by Olivia Brown

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

Added by Olivia Brown

Nord Pool Day-ahead Electiricty Price Forecasting using machine learning

Nord Pool Day-ahead Electiricty Price Forecasting using machine learning

Added by Olivia Brown

Cultivating Expertise - Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development - Ripple Down Rules or Machine Learning

Cultivating Expertise - Unravelling Type 2 Diabetes Associations through Incremental Knowledge-Based System Development - Ripple Down Rules or Machine Learning

Added by Olivia Brown

Comparison-Based Learning with Rank Nets - Adaptive search through comparisons

Comparison-Based Learning with Rank Nets - Adaptive search through comparisons

Added by Olivia Brown

Accelerating Multiscale Electronic Stopping Power Predictions with Timedependent Density Functional Theory and Machine Learning

Accelerating Multiscale Electronic Stopping Power Predictions with Timedependent Density Functional Theory and Machine Learning

Added by Lucas Martin

An Improved Predictive Accuracy Bound for Averaging Classifiers

An Improved Predictive Accuracy Bound for Averaging Classifiers

Added by Olivia Brown

COMPARATIVE ACCURACIES USING MACHINE LEARNING MODELS FOR MAPPING OF SUGARCANE PLANTATION BASED ON SENTINEL-2A IMAGERY IN KEDIRI AREA, EAST JAVA

COMPARATIVE ACCURACIES USING MACHINE LEARNING MODELS FOR MAPPING OF SUGARCANE PLANTATION BASED ON SENTINEL-2A IMAGERY IN KEDIRI AREA, EAST JAVA

Added by Lucas Martin

Bayesian Inference for Sparse Generalized Linear Models

Bayesian Inference for Sparse Generalized Linear Models

Added by Lucas Martin

稀疏概率分类器

Added by Lucas Martin

SPATIOTEMPORAL GAP-FILLING OF NASA DEEP BLUE AEROSOL OPTICAL DEPTH OVER CONUS USING THE UNET 3+ ARCHITECTURE - A THESIS

SPATIOTEMPORAL GAP-FILLING OF NASA DEEP BLUE AEROSOL OPTICAL DEPTH OVER CONUS USING THE UNET 3+ ARCHITECTURE - A THESIS

Added by Lucas Martin

Label-Free Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Algorithms in Pathogenic Microbial Identification - Current Trends, Challenges, and Perspectives - Review

Label-Free Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Algorithms in Pathogenic Microbial Identification - Current Trends, Challenges, and Perspectives - Review

Added by Lucas Martin

A MACHINE LEARNING APPROACH FOR THE PREDICTION OF FLOW BOILING HEAT TRANSFER COEFFICIENTS IN SMALL TO MICRO-TUBES

A MACHINE LEARNING APPROACH FOR THE PREDICTION OF FLOW BOILING HEAT TRANSFER COEFFICIENTS IN SMALL TO MICRO-TUBES

Added by Lucas Martin

Automatic Document Classification in Technical Logbooks - A Comparative Study of Supervised Weakly Supervised and Unsupervised Machine Learning Approaches - Master Thesis

Automatic Document Classification in Technical Logbooks - A Comparative Study of Supervised Weakly Supervised and Unsupervised Machine Learning Approaches - Master Thesis

Added by Lucas Martin

SLIDE-x-ML - System-Level Infrastructure for Dataset E-xtraction and Machine Learning Framework for High-Level Synthesis Estimations

SLIDE-x-ML - System-Level Infrastructure for Dataset E-xtraction and Machine Learning Framework for High-Level Synthesis Estimations

Added by Lucas Martin