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人工智能/神经网络 a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classif
a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications.
人工智能/神经网络 Language, Script, and Encoding Identification with String Kernel Classifiers
Language, Script, and Encoding Identification with
String Kernel Classifiers
其他书籍 Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general
Learning Kernel Classifiers: Theory and Algorithms, Introduction This chapter introduces the general problem of machine learning and how it relates to statistical inference. 1.1 The Learning Problem and (Statistical) Inference It was only a few years after the introduction of the first computer that ...
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 ...
人工智能/神经网络 向量空间模型分类器 A vector-space model classifiers package
向量空间模型分类器
A vector-space model classifiers package
Java编程 数据挖掘classifiers算法
数据挖掘classifiers算法，用JAVA实现的分类算法。
数值算法/人工智能 The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. L
The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 "
其他 machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision
machine learning, accuracy estimation, cross-validation,
bootstrap, ID3, decision trees, decision graphs, naive-bayes,
decision tables, majority, induction algorithms, classifiers,
categorizers, general logic diagrams, instance-based algorithms,
discretization, lazy learning, bagging, MineSet. ...
单片机开发 Semantic analysis of multimedia content is an on going research area that has gained a lot of atten
Semantic analysis of multimedia content is an on going research
area that has gained a lot of attention over the last few years.
Additionally, machine learning techniques are widely used for multimedia
analysis with great success. This work presents a combined approach
to semantic adaptation of neur ...
其他行业 This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifier
This is a case for recognition of hand gestures using the 7 Hu moments and neural network classifiers