2878 search results - page 99 / 576 » Learning the Common Structure of Data |
156
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
In this paper, we survey the current state-ofart models for structured learning problems, including Hidden Markov Model (HMM), Conditional Random Fields (CRF), Averaged Perceptron...
185
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SEMWEB
2009
Springer
16 years 21 days ago
2009
Springer
A key question regarding the future of the semantic web is “how will we acquire structured information to populate the semantic web on a vast scale?” One approach is to enter t...
168
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SDM
2008
SIAM
15 years 7 months ago
2008
SIAM
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
196
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ILP
1999
Springer
15 years 10 months ago
1999
Springer
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
167
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PAMI
2006
15 years 6 months ago
2006
Understanding the structure of multidimensional patterns, especially in unsupervised case, is of fundamental importance in data mining, pattern recognition and machine learning. Se...