174 search results - page 15 / 35 » Advances in Instance Selection for Instance-Based Learning A... |
119
Voted
NIPS
2004
15 years 4 months ago
2004
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
156
Voted
SDM
2007
SIAM
15 years 4 months ago
2007
SIAM
Feature selection is an important task in effective data mining. A new challenge to feature selection is the so-called “small labeled-sample problem” in which labeled data is...
136
Voted
SRDS
2010
IEEE
15 years 1 months ago
2010
IEEE
This paper presents an instance based approach to diagnosing failures in computing systems. Owing to the fact that a large portion of occurred failures are repeated ones, our meth...
114
Voted
UAI
2004
15 years 4 months ago
2004
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
134
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JMLR
2006
15 years 3 months ago
2006
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...