Cross-Validation With Active Pattern Selection for Neural-Network Classifiers  

Oleh:

Jain, L. C. ; Hornik, K. ; Leisch, F.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 9 no. 1 (1998), page 35-41.
Topik: validation; cross - validation; active pattern; neural - network; classifiers

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

We propose a new approach for leave - one - out cross - validation of neural - network classifiers called “cross - validation with active pattern selection” (CV / APS). In CV / APS, the contribution of the training patterns to network learning is estimated and this information is used for active selection of CV patterns. On the tested examples, the computational cost of CV can be drastically reduced with only small or no errors.

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