522 search results - page 8 / 105 » Feature selection for ranking using boosted trees |
113
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PR
2006
14 years 11 months ago
2006
In this paper we introduce a new embedding technique to find the linear projection that best projects labeled data samples into a new space where the performance of a Nearest Neig...
NIPS
2007
15 years 1 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...
122
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MCS
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
CAIP
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. We propose a framework for fast and automated initialization of segmentation algorithms in Computed Tomography images. Based on the idea that time-consuming voxel classiï...
88
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ICVGIP
2008
15 years 1 months ago
2008
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...