Transformative Pattern Learning

摘要: Abstract : Statistical analysis of relational data is a fundamental and novel problem in machine learning mining. Such constructs useful statistical models from about complex relationships among people, places, things, events. Supported by this research contract, we uncovered challenges inference data, designed implemented new languages for expressing deterministic probabilistic dependencies such developed algorithms models, an open-source system knowledge discovery containing over 40,000 lines code that has been downloaded more than 1000 times, evaluated the utility those undertaking large realistic applications.