18 search results - page 1 / 4 » Generalization Performance of Subspace Bayes Approach in Lin... |
77
Voted
IEICET
2006
15 years 14 days ago
2006
99
Voted
NECO
2007
14 years 12 months ago
2007
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
89
Voted
IJCNN
2007
IEEE
15 years 6 months ago
2007
IEEE
— A piecewise linear network is discussed which classifies N-dimensional input vectors. The network uses a distance measure to assign incoming input vectors to an appropriate clu...
103
Voted
TNN
1998
15 years 3 days ago
1998
— In this paper, we perform a complete asymptotic performance analysis of the stochastic approximation algorithm (denoted subspace network learning algorithm) derived from Oja’...
103
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SIGIR
1999
ACM
15 years 4 months ago
1999
ACM
This paper reports a controlled study with statistical signi cance tests on ve text categorization methods: the Support Vector Machines (SVM), a k-Nearest Neighbor (kNN) classi er...