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Computational approaches for the prediction of apicoplast-targeted proteins
Motivation:The cells of eukaryotic organisms contain subunits called organelles. The apicoplast is a unique organelle found in a group of parasites, known as Apicomplexa, that are responsible for a wide range of serious ...
Supervised Learning in Dynamic Streaming Graphs
With the emergence of networked data, graph classification has received considerable interest during the past years. Most approaches to graph classification focus on designing effective kernels to compute similarities for ...
Investigating the Relationship between Sleep and Wake Behavior using Machine Learning and Smart Home Sensors
Smart home technologies offer a unique opportunity to monitor individuals in a non-invasive manner. Because of this, they provide an ideal opportunity for pervasive healthcare. Smart homes provide the resident the freedom ...
POLICY ADVICE, NON-CONVEX AND DISTRIBUTED OPTIMIZATION IN REINFORCEMENT LEARNING
Transfer learning is a method in machine learning that tries to use previous training knowledge to speed up the learning process. Policy advice is a type of transfer learning method where a student agent is able to learn ...