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Hidden Markov Model (HMM)

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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...

Harmony Search Algorithm Numerical Example | Step-By-Step |~xRay Pixy

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Harmony Search Algorithm Video Chapters: Introduction: 00:00 Harmony Search Algorithm: 01:00 Harmony Search Algorithm Example 1: 04:00 Harmony Search Algorithm Numerical Example 2: 07:26 Harmony Search Algorithm Numerical Example 3: 11:36 Conclusion: 15:00 How does harmony search algorithm work? Harmony Search Algorithm (HSA) is introduced by Zong Woo Geem and Joong Hoon Kim in 2001. Harmony Search is a music inspired optimization algorithm. Harmony Search Algorithm is basically inspired by the Music Harmony. Music Harmony refers to the relationship between sound waves coming either from musical instruments or human voices. It is the process by which individual sounds are joined together simultaneously. It is the combination of sound pitches in the music. Pitch is an aspect of sound that we can hear. Through pitch we can check weather sound is High or Low than other musical sound. Harmony Search Algorithm Main Rules: Musician has 3 choices Play Famous piece of Music (i.e., kn...

Krill Herd Optimization NUMERICAL EXAMPLE ~xRay Pixy

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 Krill Herd Optimization Algorithm Numerical Example KRILL HERD OPTIMIZATION ALGORITHM STEPS Initialize Algorithm Parameters. Initialize Population for Krill's. Evaluate Krill's Performance. Selection Best Krill Among all. Check While (Current Iteration <= Maximum Iteration) Calculate Neighbors Krill Effect. Movement Induced. Calculate Food Attraction. Calculate Best Position Attraction. Foraging Motion. Physical Diffusion. Crossover and Mutation Update Krill Position. End While Display Best Solution Movement Induced Calculation Foraging Motion Calculation Physical Diffusion Calculation What is Krill Herd Optimization Algorithm?  Krill herd optimization algorithm is introduced in 2012 to solve the Global Optimization Function. This is a population-based Swarm Intelligence Search Algorithm based on the Herding behavior of krill.   In the Krill herd optimization algorithm, we have a  Group of Krill individuals and they are  Se...

Draw Geometric Optical Illusion Art 3D | ILLUSION ART 1 | ~xRay Pixy

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Easy 3D Illusion Art

Learn How to Solve Sudoku Puzzle? ~xRay Pixy

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