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» On Combining Classifiers
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IEAAIE
2005
Springer
14 years 3 months ago
Methods for Classifying Spot Welding Processes: A Comparative Study of Performance
Resistance spot welding is an important and widely used method for joining metal objects. In this paper, various classification methods for identifying welding processes are evalua...
Eija Haapalainen, Perttu Laurinen, Heli Junno, Lau...
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 10 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
IJCNLP
2005
Springer
14 years 3 months ago
A Preliminary Work on Classifying Time Granularities of Temporal Questions
Abstract. Temporal question classification assigns time granularities to temporal questions ac-cording to their anticipated answers. It is very important for answer extraction and ...
Wei Li, Wenjie Li, Qin Lu, Kam-Fai Wong
AAAI
2000
13 years 11 months ago
Restricted Bayes Optimal Classifiers
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
Simon Tong, Daphne Koller
IDEAL
2004
Springer
14 years 3 months ago
In-Situ Learning in Multi-net Systems
Abstract. Multiple classifier systems based on neural networks can give improved generalisation performance as compared with single classifier systems. We examine collaboration in ...
Matthew C. Casey, Khurshid Ahmad