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» Evaluating learning algorithms and classifiers
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DIS
2008
Springer
14 years 15 hour ago
String Kernels Based on Variable-Length-Don't-Care Patterns
Abstract. We propose a new string kernel based on variable-lengthdon't-care patterns (VLDC patterns). A VLDC pattern is an element of ({}) , where is an alphabet and is the ...
Kazuyuki Narisawa, Hideo Bannai, Kohei Hatano, Shu...
NIPS
1994
13 years 11 months ago
Recognizing Handwritten Digits Using Mixtures of Linear Models
We construct a mixture of locally linear generative models of a collection of pixel-based images of digits, and use them for recognition. Different models of a given digit are use...
Geoffrey E. Hinton, Michael Revow, Peter Dayan
IJON
2006
89views more  IJON 2006»
13 years 10 months ago
Flexible kernels for RBF networks
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
André O. Falcão, Thibault Langlois, ...
IPM
2006
130views more  IPM 2006»
13 years 10 months ago
Exploiting structural information for semi-structured document categorization
This paper examines several different approaches to exploiting structural information in semi-structured document categorization. The methods under consideration are designed for ...
Andrej Bratko, Bogdan Filipic
TASLP
2008
105views more  TASLP 2008»
13 years 10 months ago
Optimizing the Performance of Spoken Language Recognition With Discriminative Training
The performance of spoken language recognition system is typically formulated to reflect the detection cost and the strategic decision points along the detection-error-tradeoff cur...
Donglai Zhu, Haizhou Li, Bin Ma, Chin-Hui Lee