Feature selection is a preprocessing technique frequently used in data mining and machine learning t
Feature selection is a preprocessing technique frequently used in data mining and machine learning t...
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Feature selection is a preprocessing technique frequently used in data mining and machine learning t...
This book is good for learning C++.It conclude five parts:professional c++ introduction,C++ codeing ...
introduce UML on the background and the use of functions, suitable for beginners learning. Includin...
CCE is a multi-instance learning method solving multi-instance problems through adapting multi-insta...
dysii is a C++ library for distributed probabilistic inference and learning in large-scale dynamical...
Basic library that implements Kohonen s SOM and its learning. Lanuage: C# (.Net 3.5 Framework)...
Network Simulator: A Learning Tool for Wireless Technologies and development of Networks based on Si...
·Transfer Learning in Sign language [cvpr07]...
·Unsupervised Learning of Image Transformations [cvpr07]...