151 search results - page 21 / 31 » Structured Training for Neural Network Transition-Based Pars... |
ESWA
2008
14 years 10 months ago
2008
In this paper a novel complex classifier architecture is proposed. The architecture has a hierarchical tree-like structure with simple artificial neural networks (ANNs) at each no...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
Artificial neural networks have already shown their success in face recognition and similar complex pattern recognition tasks. However, a major disadvantage of the technique is th...
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
119
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ISNN
2004
Springer
15 years 3 months ago
2004
Springer
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
114
click to vote
JMLR
2008
14 years 10 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...