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» Learn .MT: A New Approach to Incremental Learning
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IJCAI
2007
15 years 7 months ago
Training Conditional Random Fields Using Virtual Evidence Boosting
While conditional random fields (CRFs) have been applied successfully in a variety of domains, their training remains a challenging task. In this paper, we introduce a novel trai...
Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry A. ...
184
Voted
ASC
2006
15 years 7 months ago
Simulation-based optimisation using local search and neural network metamodels
This paper presents a new algorithm for enhancing the efficiency of simulation-based optimisation using local search and neural network metamodels. The local search strategy is ba...
Anna Persson, Henrik Grimm, Amos Ng
FCS
2006
15 years 7 months ago
Quantum Oblivious Transfer Based on POVM Measurements
- Oblivious transfer OT is an important primitive in cryptography. In chosen one-out-of-two OT, Alice offers two bits, one of which Bob can choose to read, not learning any informa...
Wei Yang, Liusheng Huang, Yonglong Luo, Mingjun Xi...
190
Voted
ACL
2001
15 years 7 months ago
Text Chunking using Regularized Winnow
Many machine learning methods have recently been applied to natural language processing tasks. Among them, the Winnow algorithm has been argued to be particularly suitable for NLP...
Tong Zhang, Fred Damerau, David Johnson
NIPS
2004
15 years 7 months ago
Joint Probabilistic Curve Clustering and Alignment
Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...
Scott Gaffney, Padhraic Smyth