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ISNN
2007
Springer
15 years 10 months ago
Extensions of Manifold Learning Algorithms in Kernel Feature Space
Manifold learning algorithms have been proven to be capable of discovering some nonlinear structures. However, it is hard for them to extend to test set directly. In this paper, a ...
Yaoliang Yu, Peng Guan, Liming Zhang
CIS
2005
Springer
15 years 10 months ago
Training Multi-layer Perceptrons Using MiniMin Approach
Abstract. Multi-layer perceptrons (MLPs) have been widely used in classification and regression task. How to improve the training speed of MLPs has been an interesting field of res...
Liefeng Bo, Ling Wang, Licheng Jiao
IBPRIA
2005
Springer
15 years 10 months ago
A Stochastic Approach to Wilson's Editing Algorithm
Abstract. Two extensions of the original Wilson’s editing method are introduced in this paper. These new algorithms are based on estimating probabilities from the k-nearest neigh...
Fernando Vázquez, José Salvador S&aa...
W2GIS
2005
Springer
15 years 10 months ago
Towards a Taxonomy of Location Based Services
Location-based services (LBS) constitute an emerging application domain involving spatio-temporal databases. In this paper, i) we propose a classification of LBS, depending on whet...
Kostas Gratsias, Elias Frentzos, Vasilis Delis, Ya...
116
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IJCNLP
2004
Springer
15 years 10 months ago
Using a Smoothing Maximum Entropy Model for Chinese Nominal Entity Tagging
This paper treats nominal entity tagging as a six-way (five categories plus nonentity) classification problem and applies a smoothing maximum entropy (ME) model with a Gaussian pr...
Jinying Chen, Nianwen Xue, Martha Stone Palmer