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Variational Gaussian Process Classifiers
Oleh:
Gibbs, M. N.
;
Mackay, D. J. C.
Jenis:
Article from Journal - ilmiah internasional
Dalam koleksi:
IEEE Transactions on Neural Networks vol. 11 no. 6 (2000)
,
page 1458-1464.
Topik:
gaussian
;
variational
;
gaussian
;
process
;
classifiers
Ketersediaan
Perpustakaan Pusat (Semanggi)
Nomor Panggil:
II36.4
Non-tandon:
1 (dapat dipinjam: 0)
Tandon:
tidak ada
Lihat Detail Induk
Isi artikel
Gaussian processes are a promising non linear regression tool, but it is not straightforward to solve classification problems with them. In the paper the variational methods of Jaakkola and Jordan (2000) are applied to Gaussian processes to produce an efficient Bayesian binary classifier.
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