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Learning to Rank
Learning to rank refers to machine learning
techniques for training the model in a ranking task. Learning
to rank is useful for many applications in Information Retrieval,
Natural Language Processing, and Data Mining. Intensive studies
have been conducted on the problem and significant progress
has been made [1], [2]. This short paper gives an introduction
to learning to rank, and it specifically explains the fundamental
problems, existing approaches, and future work of learning to
rank. Several learning to rank methods using SVM techniques
are described in details.
2014-08-05
Fastest Fourier Transform 源码
FFT (Fastest Fourier Transform ): Used to do the FFT transformations.
Source code
2014-03-03
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