244 citations
- École Polytechnique Fédérale de LausanneCH4 papers
- Microsoft Research (United Kingdom)GB3 papers
- University of HelsinkiFI3 papers
- Arizona State UniversityUS2 papers
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- Eindhoven University of TechnologyNL2 papers
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12 papers · 1 filter
Tribuo: Machine Learning with Provenance in Java
Adam Pocock
Machine Learning models are deployed across a wide range of industries, performing a wide range of tasks. Tracking these models and ensuring they behave appropriately is becoming i…
MACEst: The reliable and trustworthy Model Agnostic Confidence Estimator
Rhys Green, Matthew Rowe, Alberto Polleri
Reliable Confidence Estimates are hugely important for any machine learning model to be truly useful. In this paper, we argue that any confidence estimates based upon standard mach…
MultiCategory: Multi-model Query Processing Meets Category Theory and Functional Programming
Valter Uotila, Jiaheng Lu, Dieter Gawlick +3
The variety of data is one of the important issues in the era of Big Data. The data are naturally organized in different formats and models, including structured data, semi-structu…
Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Shanu Kumar, Vinod Kumar Kurmi, Praphul Singh +1
Understanding unsupervised domain adaptation has been an important task that has been well explored. However, the wide variety of methods have not analyzed the role of a classifier…
Modeling memory bandwidth patterns on NUMA machines with performance counters
Daniel Goodman, Roni Haecki, Tim Harris
Computers used for data analytics are often NUMA systems with multiple sockets per machine, multiple cores per socket, and multiple thread contexts per core. To get the peak perfor…
Intra-process Caching and Reuse of Threads
Dave Dice, Alex Kogan
Creating and destroying threads on modern Linux systems incurs high latency, absent concurrency, and fails to scale as we increase concurrency. To address this concern we introduce…