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Found 5 papers, 0 papers with code
Qd-tree: Learning Data Layouts for Big Data Analytics
For a given workload, however, such techniques are unable to optimize for the important metric of the number of blocks accessed by a query.
ALEX: An Updatable Adaptive Learned Index
The original work by Kraska et al. shows that a learned index beats a B+Tree by a factor of up to three in search time and by an order of magnitude in memory footprint.
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems
We study the problem of troubleshooting machine learning systems that rely on analytical pipelines of distinct components.
Crowd Access Path Optimization: Diversity Matters
Based on this intuitive idea, we introduce the Access Path Model (APM), a novel crowd model that leverages the notion of access paths as an alternative way of retrieving information.
Discovering Valuable Items from Massive Data
Given a budget on the cumulative cost of the selected items, how can we pick a subset of maximal value?
