SEPARATE : A Machine Learning Method Based on Semi-Global Partitions  

Oleh:

Castro, J. L. ; Delgado, M. ; Mantas, C. J.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 3 (2000), page 710-720.
Topik: MACHINE; SEPARATE; machine learning; semi - global partitions

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

Presents a machine learning method for solving classification and approximation problems. This method uses the divide - and - conquer algorithm design technique (taken from machine learning models based on a tree), with the aim of achieving design ease and good results on the training examples and allows semi - global actions on its computational elements (a feature taken from neural networks), with the aim of attaining good generalization and good behaviour in the presence of noise in training examples. Finally, some results obtained after solving several problems with a particular implementation of SEPARATE are presented together with their analysis.

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