no code implementations • 28 May 2019 • Soham Deshmukh, Rahul Rade, Dr. Faruk Kazi
For modelling we propose a novel semi-supervised algorithm called Fusion Hidden Markov Model (FHMM) which is more robust to noise, requires comparatively less training time, and utilizes the benefits of ensemble learning to better model temporal relationships in data.