A meta-learning configuration framework for graph-based similarity search indexes
Similarity searches retrieve elements in a dataset with similar characteristics to the input
query element. Recent works show that graph-based methods have outperformed others in …
query element. Recent works show that graph-based methods have outperformed others in …
On Efficient Approximate Queries over Machine Learning Models
The question of answering queries over ML predictions has been gaining attention in the
database community. This question is challenging because the cost of finding high quality …
database community. This question is challenging because the cost of finding high quality …
[图书][B] Generalized Algorithmic Frameworks for Optimizing Distance Calls in Generalized Metric Space Proximity Problems and Methods for Realizing Efficient Signal …
J Augustine - 2020 - search.proquest.com
The exponential rise in data, along with its heterogeneity and complexity, helped individuals,
businesses, hospitals, enterprises and even governments to thrive on data-driven decision …
businesses, hospitals, enterprises and even governments to thrive on data-driven decision …