Man zieht in gute Viertel, schickt die Kinder auf Privatschulen, achtet auf Stil und Manieren: Das Bürgertum grenzt sich ab – und erschwert Menschen aus den unteren Schichten den Aufstieg.
BioImage Suite is an integrated image analysis software suite developed at Yale University. BioImage Suite has extensive capabilities for both neuro/cardiac and abdominal image analysis and state of the art visualization. Many packages are available that are highly extensible, and provide functionality for image visualization and registration, surface editing, cardiac 4D multi-slice editing, diffusion tensor image processing, mouse segmentation and registration, and much more. It can be intergrated with other biomedical image processing software, such as FSL and SPM. This site provides information, downloads, documentation, and other resources for users of the software.
Professor Katherine Stovel
Winter 2007, U Washington
This seminar is intended as a theoretical and analytical
introduction to structural network analysis.
UnitMetrics is an open-source tool project aiming to deliver useful information about a project and its related documents. Continuously gathering information the tool utilizes a set of available metrics and related analyze steps to provide useful findings for its users. Once the information are available certain views exist to easily view and interpret those findings.
JRat is the Java Runtime Analysis Toolkit. Its purpose is to enable developers to better understand the runtime behavior of their Java programs. The term "behavior" includes, but is not limited to performance profiling.
While JRat is still in beta, without adding code to your application it can...
# accumulate timing statistics (a few ways)
# create trace logging
# track rate methods are called over time
# track the response time of methods over time
"Here's a preliminary data mining analysis of musical social networking service Last.fm. An automated classification into clusters or sub populations with related musical genres reveals the structure of musical preferences among the users in a relatively large sample population. Musical tag clouds are adopted to characterise users and populations, which adds a highly descriptive value and aids with the interpretation of the results."
J. Choi, A. Khlif, и E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), стр. 23--27. Online, Association for Computational Linguistics, (2020)
J. Choi, A. Khlif, и E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), стр. 23--27. Online, Association for Computational Linguistics, (2020)