522 search results - page 36 / 105 » Feature selection for ranking using boosted trees |
NIPS
2007
15 years 1 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
ICMCS
2006
IEEE
15 years 5 months ago
2006
IEEE
This paper presents an interactive video event retrieval system based on improved adaboost learning. This system consists of three main steps. Firstly, a long video sequence is pa...
ICPR
2008
IEEE
15 years 6 months ago
2008
IEEE
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
128
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ML
2008
ACM
14 years 11 months ago
2008
ACM
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
116
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BMCBI
2007
14 years 11 months ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...