3 papers
cs.NE2024
Pre-Sorted Tsetlin Machine (The Genetic K-Medoid Method)
Jordan Morris
This paper proposes a machine learning pre-sort stage to traditional supervised learning using Tsetlin Machines. Initially, K data-points are identified from the dataset using an e…
cs.DC2023
An Event-Driven Approach To Genotype Imputation On A Custom RISC-V FPGA Cluster
Jordan Morris, Ashur Rafiev, Graeme Bragg +4
This paper proposes an event-driven solution to genotype imputation, a technique used to statistically infer missing genetic markers in DNA. The work implements the widely accepted…
eess.SP2020
Low-Latency Asynchronous Logic Design for Inference at the Edge
Adrian Wheeldon, Alex Yakovlev, Rishad Shafik +1
Modern internet of things (IoT) devices leverage machine learning inference using sensed data on-device rather than offloading them to the cloud. Commonly known as inference at-the…