3050 search results - page 259 / 610 » On-line Algorithms in Machine Learning |
129
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
We introduce confidence-weighted linear classifiers, which add parameter confidence information to linear classifiers. Online learners in this setting update both classifier param...
124
Voted
ICML
2000
IEEE
16 years 5 months ago
2000
IEEE
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...
140
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ALT
2007
Springer
15 years 10 months ago
2007
Springer
This paper deals with the problem of making predictions in the online mode of learning where the dependence of the outcome yt on the signal xt can change with time. The Aggregating...
145
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ECML
2007
Springer
15 years 10 months ago
2007
Springer
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
152
Voted
FLAIRS
2008
15 years 7 months ago
2008
We introduce a method to deal with the problem of learning from imbalanced data sets, where examples of one class significantly outnumber examples of other classes. Our method sel...