1. Focus on what’s important ! Performance analytics driven by machine learning 2. Why we built illuminate • To diagnose performance issues – Without human intervention…
Slide 1Scientific Data Mining Principles and applications with astronomical data. Amos Storkey Institute for Adaptive and Neural Computation Division of Informatics and Institute…
1. Machine Learning for the System AdministratorMarc Chiarini and Alva Couch, Tufts University {marc.chiarini,alva.couch}@tufts.edu AbstractIn this paper, we explore how…
1. Machine Learning for Scientific Applications http://davidlary.info David Lary Need: Accounting for complex multi-variate context which is often not fully described by…
Machine Learning Comparison of Machine Learning Techniques using WEKA environment 2011 20th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative…
1. Big Data: the weakest link Vivek Nair, Tim Menzies {vivekaxl,tim.menzies}@gmail.com HPCC Eng. Summit - Sept 29, 2015 2. Where is the weakest link? 2 3. Where is the weakest…
Linköping Studies in Science and Technology. Thesis, No. 1523 Computational Terminology: Exploring Bilingual and Monolingual Term Extraction by Jody Foo Submitted to Linköping…
Slide 1 Computer Systems Lab TJHSST Current Projects 2004-2005 Second Period Slide 2 2 Current Projects, 2nd Period Casey Barrett: The Design and Implementation of Decicion…