Massive Free Documents

Discover millions of professional documents covering academic, business, culture and more.

Defending against Adversarial Machine Learning Attacks using Hierarchical Learning - A case study on Network Traffic Attack Classification

Defending against Adversarial Machine Learning Attacks using Hierarchical Learning - A case study on Network Traffic Attack Classification

A Machine Learning Approach to Solving Large Bilevel and Stochastic Programs - Application to Cycling Network Design

A Machine Learning Approach to Solving Large Bilevel and Stochastic Programs - Application to Cycling Network Design

Automated metadata annotation - What is and is not possible with machine learning

Automated metadata annotation - What is and is not possible with machine learning

Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries

Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries

Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning

Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning

Learning from Very Few Samples - A Survey

Learning from Very Few Samples - A Survey

Decoding Quantum Field Theory with Machine Learning - Local Measurements with Neural Networks

Decoding Quantum Field Theory with Machine Learning - Local Measurements with Neural Networks

The Hidden Vulnerability of Distributed Learning in Byzantium

The Hidden Vulnerability of Distributed Learning in Byzantium

Bayesian Inference and Optimal Design for the Sparse Linear Model - Academic paper overview

Bayesian Inference and Optimal Design for the Sparse Linear Model - Academic paper overview

Classification of Dog Barks - a Machine Learning Approach

Classification of Dog Barks - a Machine Learning Approach

PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification - Simplified Proof and Tight Distribution-Free Bounds

PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification - Simplified Proof and Tight Distribution-Free Bounds

A Neurocomputational Model of Impaired Imitation - Research Presentation

A Neurocomputational Model of Impaired Imitation - Research Presentation

Predicting Diabetes Mellitus with Machine Learning Techniques - Research Study

Predicting Diabetes Mellitus with Machine Learning Techniques - Research Study

Improved Accuracy for Heart Disease Diagnosis Using Machine Learning Techniques

Improved Accuracy for Heart Disease Diagnosis Using Machine Learning Techniques

High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing

High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing