3378 search results - page 527 / 676 » Learning in Friedberg Numberings |
310
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CP
2009
Springer
16 years 7 months ago
2009
Springer
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
171
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CHI
2009
ACM
16 years 7 months ago
2009
ACM
It is well-accepted that learnability is an important aspect of usability, yet there is little agreement as to how learnability should be defined, measured, and evaluated. In this...
146
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CICLING
2009
Springer
16 years 7 months ago
2009
Springer
We cast name discrimination as a problem in clustering short contexts. Each occurrence of an ambiguous name is treated independently, and represented using second?order context vec...
170
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
171
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...