Sparse Vector
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A Sparse Vector is a vector with many zeros.
- Context:
- It can (often) be from a Sparse Vector Space.
- It can be a member of a Sparse Matrix.
- Example(s):
- a Sparse Word Vector.
- a TF-IDF Vector.
- a Sparse Feature Vector.
- …
- Counter-Example(s):
- a Dense Vector.
- See: Sparse Distributional Model.
References
2000
- (Kudoh & Matsumoto, 2000) ⇒ Taku Kudoh, and Yuji Matsumoto. (2000). “Use of Support Vector Learning for Chunk Identification.” In: Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7. doi:10.3115/1117601.1117635
- QUOTE: SVMs training is carried out with the SVM light package, which is designed and optimized to handle large sparse feature vector and large numbers of training examples (Joachims, 2000; Joachims, 1999a).