Scaling machine learning using approximate counting that...

Details Scaling machine learning using approximate counting that... Scaling machine learning using approximate counting that...

2007-05-16

2010-06-22

Sparks, Donald (Department: 2129)

Data processing: artificial intelligence

Machine learning

Reexamination Certificate

active

07743003

ABSTRACT:
A system may track statistics for a number of features using an approximate counting technique by: subjecting each feature to multiple, different hash functions to generate multiple, different hash values, where each of the hash values may identify a particular location in a memory, and storing statistics for each feature at the particular locations identified by the hash values. The system may generate rules for a model based on the tracked statistics.

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