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HTK-3.4
- The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into sp
DNAClassification
- DNA分类，包含三中模式识别经典算法的实现：K紧邻，BP神经网络，概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network.
LCS_src
- dna 的 pattern recognition-Pattern Regconition
HTK-Presentation
- The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into sp
Pattern-recognition-experiment1
- 基于多层感知器的DNA序列分类器的设计,里面有说明文档和源程序-Based on the DNA sequence of MLP classifier design, which has documentation and source code
hw5_ppb2112
- This file contains code for DNA recognition.
genePre
- matlab实现固定宽度DNA识别和预测的算法-matlab fixed width DNA recognition and prediction algorithm
support_matlab_files
- A DNA-based Pattern Recognition Technique for Cancer Detection
PCA_and_ICA_project_june_8_2007
- A DNA-based Pattern Recognition Technique for Cancer Detection-Our findings indicate that the POD method can successfully detect both cancer types, although our approach can be applied to other types of disease or cancer.
htk-3.3
- HTK是英国剑桥大学开发的一套基于C语言的隐马尔科夫模型工具箱，主要应用于语音识别、语音合成的研究，也被用在其他领域，如字符识别和DNA排序等。HTK是重量级的HMM版本。-Cambridge University HTK is a C-based language developed by the Hidden Markov Model Toolkit, mainly used in speech recognition, speech synthesis research, has also
ScanarithDemo
- 生物医学领域命名实体识别是生物医学信息抽取的一项重要的基本任务，目的是从文本集 合中识别出指定类型的名称，例如蛋白质、基因、核糖核酸、脱氧核糖核酸等。完成命名实体的 识别任务是能够进行更为复杂的信息抽取任务的关键一步。生物医学信息抽取的研究主要集中在 -Biomedical named entity recognition is an important basic biomedical information extraction task, the purpose is to ident
htk
- 隐马尔可夫模型工具包（HTK）是一种便携式工具包构建和操纵隐马尔可夫模型。 HTK主要用于语音识别的研究，虽然它已被用于许多其它应用，包括研究，语音合成，字符识别和DNA测序。 本程序包含HTK源码以及在windows下已经编译好的工具。-The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily
accord-hmm-source
- Hidden Markov Models in C#-Introduction Hidden Markov Models were first described in a series of statistical papers by Leonard E. Baum and other authors in the second half of the 1960s. One of the first applications of HMMs was speech recognition,
字符串DNA与模糊识别
- 通过提取字符串DNA，对海量信息进行模糊识别与匹配，在大数据应用中有一定参考价值，附件含源码与示例(By extracting the string DNA, the fuzzy recognition and matching of the mass information has a certain reference value in the large data application. The appendix contains source code and example)