0627 Improved Primary CNS Hypersomnia Diagnosis With Statistical Machine Learning

Towards Improved Prediction of Ocean Processes Using Statistical Machine Learning

We discuss the problem of predicting ocean currents based on historical data and ocean models. This problem is relevant to navigation of autonomous underwater vehicles (AUVs) and has significant scientific importance for analysis of biological processes and weather patterns. Available predictive models provide accurate prediction of these currents, but they typically do not provide confidence e...

Statistical Machine Learning

Statistical and Machine Learning

• Course plan: See Table of Contents (tentative). We will emphasize on knowing " why " and on statistical aspects instead of algorithms and programming. But still you have to know " how " by either writing your own implementation or modifying from others' code. • Grading policy: homework 30%, score for late homework= (full points) × 0.8 d , d : delay days. oral presentation 20% on assigned task...

Querying the Web with Statistical Machine Learning

The traditional means of extracting information from the Web are keywordbased search and browsing. The Semantic Web adds structured information (i.e., semantic annotations and references) supporting both activities. One of the most interesting recent developments is Linked Open Data (LOD) where information is presented in the form of facts —often originating from published domain-specific datab...

Hypersomnia caused by isolated angiitis of the CNS.

A 42-year-old woman presented gradual development of hypersomnia and memory disturbance. T2-weighted and FLAIR MRI scans revealed a high intensity abnormality in the hypothalamus. Stereotactic brain biopsy specimen revealed prominent infiltration of the lymphocytes in the vessel walls. Since there was no evidence of systemic angiitis, the diagnosis of isolated angiitis of the CNS (IAC) was made...