Methods for large scale machine learning

By J. Watt, Reza Borhani, Aggelos K. Katsaggelos. 2016

16 citations recorded by the source corpus.

Subfields: Artificial Intelligence

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Cameron Musco
2. Christopher Musco
3. Dan Feldman

Citations in the corpus

• Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition (2015, methodology): “We explicitly compute K for both algorithms, as described in Section 5, and use reorthonormalization at each iteration to improve stability [34].”