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SpikeLM: A Second-Order supervised learning Algorithm for Training Spiking Neural Networks
Introduction
Preliminaries
SpikeLM algorithm
Experimental validation
Conclusions
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike regula
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斯坦福大学开发的命名实体识别源码，支持英文-Stanford NER- September 2006
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This package provides a high-performance machine learning based named
entity recognition system, including facilities to train models from
su
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ISODATA算法是一种基于统计模式识别的，非常经典的非监督学习动态聚类算法，有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析，而且可以自动地进行类别的“合并”和“分裂”，从而得到类数比较合理的聚类结果。-ISODATA algorithm is based on statistical pattern recognition, and very classic dynamic clustering of non-supervised learning algor
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SVMstruct is a Support Vector Machine (SVM) algorithm for predicting multivariate or structured outputs. It performs supervised learning by approximating a mapping
h: X --> Y
using labeled training examples (x1,y1), ..., (xn,yn). Unlike reg
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利用支持向量机进行半监督学习的详细的文档，包括了部分伪代码，具有很大的参考价值-Using support vector machine semi-supervised learning of detailed documentation, including some pseudo-code, has great reference value
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SCRUM 敏捷项目管理 极限编程 硝烟中-SCRUM Extreme Programming Agile project management smoke
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Introduction to semi-supervised learning
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Semi-supervised learning Edited by
Olivier Chapelle,
Bernhard Scholkopf,
and Alexander Zien
2006 Massachusetts Institute of Technology
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这是一个Ruby机器学习项目中本地实现广义隐马尔可夫模型的分类。目前，它能够监督学习和Viterbi解码。-This project is a Ruby gem ( hmm ) for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using la
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A support vector machine (SVM) is a concept in statistics and computer science for a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
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Fuzzy-Rough Set based Semi-supervised learning
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经典算法kmeans的实现，适用于已知聚类数目的弱监督学习-Kmeans classical algorithm implementations for a known number of clusters weakly supervised learning
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机器学习监督学习算法，梯度下降、批梯度下降(Machine learning supervised learning algorithms, gradient descent, batch gradient descent.)
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supervised learning ML
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ML supervised learning
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2-supervised learning
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AGR算法，进行半监督学习，matlab语言(AGR classification,semi-supervised learning,matlab code)
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FLAE 方法，分类，半监督学习，字典学习，有标签数据，无标签数据(FLAE method,semi-supervised learning,label unlabel)
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基于强化学习的股票预测系统，内涵有监督学习和强化学习的代码(he stock forecasting system based on reinforcement learning contains the codes of supervised learning and reinforcement learning)
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