Google research paper describes an algorithm that can identify low quality webpages, similar to what the helpful content signal does Google research paper describes an algorithm that detects low ...
TW-BERT is an end-to-end query term weighting framework that bridges two paradigms to improve search results Integrates with existing query expansion models and improves performance Deploying the new ...
Many aspects of modern applied research rely on a crucial algorithm called gradient descent. This is a procedure generally used for finding the largest or smallest values of a particular mathematical ...
The 30th Annual European Symposium on Algorithms awarded its 2021 Test-of-Time Award to Sorin Istrail, professor of computational and mathematical sciences and professor of computer science, and his ...
The algorithmic culture research area articulates a particular type of technological culture where data and not documents drive decisions and further decisions are made increasingly by ...
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research in the design, development, analysis, and scalability of randomized algorithms for ...
When scientists test algorithms that sort or classify data, they often turn to a trusted tool called Normalized Mutual Information (or NMI) to measure how well an algorithm's output matches reality.
Finding research partners from universities based in different countries can have immense benefits. Scientists can collaborate with investigators from dissimilar backgrounds, bringing new perspectives ...
Driven On-Chip Integration for High Density and Low Cost” was published by researchers at University of Southern California.
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