16 search results - page 2 / 4 » Logistic Regression and Boosting for Labeled Bags of Instanc... |
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ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--Recently, classifier grids have shown to be a considerable alternative for object detection from static cameras. However, one drawback of such approaches is drifting if a...
NIPS
2001
14 years 11 months ago
2001
We derive an equivalence between AdaBoost and the dual of a convex optimization problem, showing that the only difference between minimizing the exponential loss used by AdaBoost ...
67
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ICONIP
2008
14 years 11 months ago
2008
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
DIS
2009
Springer
15 years 4 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
87
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JMLR
2010
14 years 4 months ago
2010
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...