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人工智能/神经网络 Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifie ...
其他 主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。
and a simple clustering algorithm.
其他 LabVIEW7实用教程 learning 全部资料 完整版
LabVIEW7实用教程 learning 全部资料 完整版
文章/文档 Learning Multi-scale Block Local Binary Patterns for Face Recognition”
Learning Multi-scale Block Local Binary Patterns for Face Recognition”
书籍源码 Reinforcement Learning
Reinforcement Learning
数据结构 Parking Lot Simulation： Parking lot attendants often park cars bumper-to-bumper, several cars deep.
Parking Lot Simulation：
Parking lot attendants often park cars bumper-to-bumper, several cars deep. This maximizes the number of cars they can fit into a parking lot at the expense of complicating the process of retrieving someone s car when they want to leave. Consider the case of a person wanting ...
其他 SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks Introduc
SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural Networks
Introduction
Preliminaries
SpikeLM algorithm
Experimental validation
Conclusions
其他 Labview国际象棋,it is useful if you are learning labview
Labview国际象棋,it is useful if you are learning labview
其他书籍 This book is finite element method learning book.
This book is finite element method learning book.
人工智能/神经网络 新神经网络 Extreme Learning Machine 比SVM快
新神经网络
Extreme Learning Machine
比SVM快，附4个例子