Probabilistic RetrievalCovers Probabilistic Information Retrieval, modeling relevance as a probability, query expansion, and automatic thesaurus generation.
Probabilistic Retrieval ModelsCovers probabilistic retrieval models, evaluation metrics, query likelihood, user relevance feedback, and query expansion.
Probabilistic Information RetrievalCovers Probabilistic Information Retrieval, including Query Likelihood Model, Language Modeling, and smoothing techniques for non-occurring terms.
Information Retrieval BasicsIntroduces the basics of information retrieval, covering text-based and Boolean retrieval, vector space retrieval, and similarity computation.
System Modeling LanguagesExplores the significance of System Modeling Languages like OPM, SysML, and Modelica in modern Systems Engineering.
Information Retrieval BasicsIntroduces the basics of information retrieval, covering document representation, query expansion, and TF-IDF for document ranking.
Heavy-Tailed DistributionsExplores heavy-tailed distributions, the Hill estimator, convergence to Gaussian, and distribution comparison.
