1707 search results - page 181 / 342 » A Boosting Algorithm for Regression |
105
Voted
SIAMCO
2000
15 years 3 months ago
2000
In this paper, a perturbation expansion technique is introduced to decompose the tracking error of a general adaptive tracking algorithm in a linear regression model. This method ...
131
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GIS
2009
ACM
15 years 8 months ago
2009
ACM
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
117
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NIPS
2007
15 years 5 months ago
2007
The notion of algorithmic stability has been used effectively in the past to derive tight generalization bounds. A key advantage of these bounds is that they are designed for spec...
160
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AIME
1997
Springer
15 years 7 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...
118
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...