Description: 隐马尔可夫模型的C语言实现，人工智能算法领域的参考资料。-Hidden Markov Model C language, artificial intelligence algorithms field reference. Platform: |
Size: 8192 |
Author: |
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Description: HMM(Hidden Markov Model)，狀態數目N=3，觀察符號數目M=2，時間長度T=3。
(a) Probability Evaluation: 給定狀態轉換機率A、狀態符號觀察機率B、和起始機率 ，求觀察序列 出現的機率。
(b) Optimal State Sequence: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率 、和觀察序列 ，求一個狀態序列 使得O出現的機率最大。
(c) Parameter Estimation: 給定狀態轉換機率A、狀態符號觀察機率B、起始機率 、和觀察序列 ，求新的A、B、 ，使得O出現的機率最大。
-HMM (Hidden Markov Model), state the number of N = 3, Observation number of symbols M = 2, T = length of three. (A) Probability Evaluation : given state transition probability A, Observer status symbol probability of B, and initial probability for observation sequence in the octave. (B) Optimal State Sequence : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, for a state sequence of O makes the greatest risk. (C) Parameter Estimation : given state transition probability A, Observer status symbol probability of B, the initial probability, and observation sequence, the way the A, B, and O makes the greatest risk. Platform: |
Size: 146432 |
Author:章勝鈞 |
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Description: hidden markov model 的package…我覺得還不錯…-hidden markov model of the package ... I think that was pretty good ... Platform: |
Size: 10240 |
Author:waterliu |
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Description: 实现了隐马尔可夫模型的算法。可用向前算法和向后算法对模型进行训练。-Realize the hidden Markov model algorithms. Algorithm can be used forward and backward algorithm for training the model. Platform: |
Size: 3603456 |
Author:waterlily |
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Description: 隐马尔科夫模型对文本信息进行抽取利用MATLAB实现-Hidden Markov Model for text information extraction realize the use of MATLAB Platform: |
Size: 34816 |
Author:longge1998 |
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Description: 隐马尔科夫模型对文本信息进行抽取利用C＋＋实现-Hidden Markov Model for text information extraction using C realize Platform: |
Size: 15360 |
Author:longge1998 |
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Description: Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models. Platform: |
Size: 23552 |
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Description: 自己编写的语音识别程序-基于隐马尔可夫模型的语音识别-I have written the speech recognition program- Based on Hidden Markov Model Speech Recognition Platform: |
Size: 5120 |
Author:小苗 |
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Description: 隐马尔科夫模型程序，这是一个仿真程序，特别适合于初学者-Hidden Markov model procedures, this is a simulation program, especially suitable for beginners Platform: |
Size: 7168 |
Author:zhangbo |
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Description: 本资料介绍了有关马尔科夫的相关概念，重点分析了隐马尔科夫模型的有关内容，详细分析了解决HMM三个问题的有效算法。-This document describes the relevant concepts related to Markov, the focus of the Hidden Markov Model of the content, detailed analysis of the three problems to solve the effective HMM algorithm. Platform: |
Size: 329728 |
Author:luzhiqiang |
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