533 search results - page 11 / 107 » Learning to extract form labels |
BVAI
2007
Springer
14 years 1 months ago
2007
Springer
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
COLING
2000
13 years 9 months ago
2000
We present some novel machine learning techniques for the identification of subcategorization information for verbs in Czech. We compare three different statistical techniques app...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
In this paper, we present a novel feature extraction framework, called learning by propagability. The whole learning process is driven by the philosophy that the data labels and o...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Hierarchical models have been extensively studied in various domains. However, existing models assume fixed model structures or incorporate structural uncertainty generatively. In...