Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things This paper develops a novel tree-based algorithm, called Bonsai, for efficient prediction on IoT devices – such as those based on the Arduino Uno board having an 8 bit ATmega328P microcontroller operating at 16 MHz with no native floating point support, 2 KB RAM and 32 KB read-only flash. Bonsai maintains prediction accurac

[masatoi]

なんとなくICMLで決定木の発表がないか見ていたらIoT向けの超省メモリの決定木モデルの発表があった。その名もBonsai。盆栽ってな・・・