Diploma from Technische Universität Kaiserslautern, 2010, -93 p. This thesis tackles the problem of sequence learning using Hierarchical Temporal Memory as a first step towards a framework for combined temporal and spatial inference. Sequence learning is a crucial part of intelligence. Sun [2001] even considered it the most prevalent form of human and animal learning. There are...
Technical University of Berlin, 2015, 88 p. Final qualifying work in the direction "Distributed and Large-Scale Business Intelligence". Motivation. Thesis Outline. Background and Related Work. Namespaces in Computer Science. Math-aware POS tagging. Mathematical Definition Extraction. ector Space Model. Similarity Measures and Distances. Document Clustering Techniques. Latent...
University of Stuttgart, 2014. — 81 p. Log files, which are produced in almost all larger computer systems today, contain highly valuable information about the health and behavior of the system and thus they are consulted very often in order to analyze behavioral aspects of the system. Because of the very high number of log entries produced in some systems, it is however...
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