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167
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INEX
2009
Springer
15 years 11 months ago
2009
Springer
We describe our participation in the Link-the-Wiki track at INEX 2009. We apply machine learning methods to the anchor-to-best-entry-point task and explore the impact of the follow...
143
Voted
ECSQARU
2001
Springer
15 years 11 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
167
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ICANN
2001
Springer
15 years 11 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
173
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MCS
2001
Springer
15 years 11 months ago
2001
Springer
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
154
Voted
ICCAD
2000
IEEE
15 years 11 months ago
2000
IEEE
The main effort in oscillator phase noise calculation lies in computing a vector function called the Perturbation Projection Vector (PPV). Current techniques for PPV calculation u...