Hidden Markov Model (HMM)
Hidden Markov Model (HMM) VIDEO LINK: https://youtu.be/YIGCWNG8BIA A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. Video Chapters: HMM in Artificial Intelligence 00:00 Introduction 00:31 Statistical Model 00:54 HMM Examples 02:30 HMM 03:10 HMM Components 05:23 Viterbi Algorithm 06:23 HMM Applications 06:38 HMM Problems 07:28 HMM in Handwriting Recognition 11:20 Conclusion HMM COMPONENTS A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. An HMM consists of states, observations, transition probabilities, emission probabilities, and initial probabilities. It is commonly used in a...
Hello , first of all thank you for all your videos
ReplyDeleteI want to manage data consistency by knowing where to replicate data in fog nodes in a health care application , I have studied these algorithms (red fox optimization , particle swarm optimization , grey wolf optimize , bat swarm optimizer ,whale optimization algorithm based on bubble net feeding , whale swarm algorithm based on ultrasound communication ) , I still can't figure out which algorithm can help me in my study , could you suggest an idea ? if you can help me email me please (abed.benamar@gmail.com)