801 search results - page 17 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
ICPR
2000
IEEE
14 years 9 months ago
2000
IEEE
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
TCS
2011
13 years 3 months ago
2011
An active learner has a collection of data points, each with a label that is initially hidden but can be obtained at some cost. Without spending too much, it wishes to find a cla...
FLAIRS
2004
13 years 10 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
When the training instances of the target class are heavily outnumbered by non-target training instances, SVMs can be ineffective in determining the class boundary. To remedy this...
ICMLA
2003
13 years 10 months ago
2003
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...