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Full-Text Articles in Computer Sciences
New Methods For Deep Learning Based Real-Valued Inter-Residue Distance Prediction, Jacob Barger
New Methods For Deep Learning Based Real-Valued Inter-Residue Distance Prediction, Jacob Barger
Theses
Background: Much of the recent success in protein structure prediction has been a result of accurate protein contact prediction--a binary classification problem. Dozens of methods, built from various types of machine learning and deep learning algorithms, have been published over the last two decades for predicting contacts. Recently, many groups, including Google DeepMind, have demonstrated that reformulating the problem as a multi-class classification problem is a more promising direction to pursue. As an alternative approach, we recently proposed real-valued distance predictions, formulating the problem as a regression problem. The nuances of protein 3D structures make this formulation appropriate, allowing predictions …
A Machine-Learning Approach For Workflow Identification From Low-Level Monitoring Information, Thorsten Stein
A Machine-Learning Approach For Workflow Identification From Low-Level Monitoring Information, Thorsten Stein
Theses
Knowing which workflows are executed within Service Oriented Architectures (SOA) is essential for successful IT management. In many cases, SOAs grew out of previous existing IT architectures; existing components are used as single services and therefore as parts of newly created workflows. Since such workflows consist of newly developed and legacy services, traditional workflow management systems often cannot be applied. This thesis presents a method for gathering information about the executed workflows within such heterogeneous environments. An implementation of a framework is presented. This framework allows the training of machine-learning algorithms with workflow models and the mapping of low-level monitoring …