392 search results - page 23 / 79 » Selecting a Relevant Set of Examples to Learn IE-Rules |
122
click to vote
KDD
2008
ACM
16 years 5 days ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
ALT
2001
Springer
15 years 8 months ago
2001
Springer
While there has been a significant amount of theoretical and empirical research on the multiple-instance learning model, most of this research is for concept learning. However, f...
106
click to vote
ICDM
2009
IEEE
15 years 6 months ago
2009
IEEE
—The success of transfer to improve learning on a target task is highly dependent on the selected source data. Instance-based transfer methods reuse data from the source tasks to...
RSFDGRC
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
TSMC
1998
14 years 11 months ago
1998
Abstract—We present a general scheme for learning sensorimotor tasks which allows rapid on-line learning and generalization of the learned knowledge to unfamiliar objects. The sc...