Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
The Alexandria Digital Library (ADL) project has been working on automating the processes of building ADL collections and gathering the collection statistics on which ADL’s disco...
We report on our experience from design and implementation of a powerful map application for managing, querying and visualizing evolving locations of moving objects. Instead of bu...
Kostas Patroumpas, Evi Kefallinou, Timos K. Sellis
Windows Error Reporting (WER) is a distributed system that automates the processing of error reports coming from an installed base of a billion machines. WER has collected billion...
Kirk Glerum, Kinshuman Kinshumann, Steve Greenberg...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...