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EMNLP
2006
15 years 8 months ago
Loss Minimization in Parse Reranking
We propose a general method for reranker construction which targets choosing the candidate with the least expected loss, rather than the most probable candidate. Different approac...
Ivan Titov, James Henderson
FLAIRS
2006
15 years 8 months ago
Using Validation Sets to Avoid Overfitting in AdaBoost
AdaBoost is a well known, effective technique for increasing the accuracy of learning algorithms. However, it has the potential to overfit the training set because its objective i...
Tom Bylander, Lisa Tate
APBC
2003
140views Bioinformatics» more  APBC 2003»
15 years 8 months ago
Novel Elastic Registration for 2-D Medical and Gel Protein Images
A novel elastic image registration approach is proposed, which can register both 2D medical images and gel electrophoresis automatically and accurately. Firstly, the global affine...
Xiu Ying Wang, David Dagan Feng, Hai Hong
ICONIP
2004
15 years 8 months ago
Semi-supervised Kernel-Based Fuzzy C-Means
This paper presents a semi-supervised kernel-based fuzzy c-means algorithm called S2KFCM by introducing semi-supervised learning technique and the kernel method simultaneously into...
Daoqiang Zhang, Keren Tan, Songcan Chen
IJCAI
2001
15 years 8 months ago
Link Analysis, Eigenvectors and Stability
The HITS and the PageRank algorithms are eigenvector methods for identifying "authoritative" or "influential" articles, given hyperlink or citation information...
Andrew Y. Ng, Alice X. Zheng, Michael I. Jordan
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