217 search results - page 36 / 44 » Training Support Vector Machines Using Greedy Stagewise Algo... |
118
Voted
KDD
2004
ACM
16 years 2 months ago
2004
ACM
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
114
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ISMIR
2004
Springer
15 years 7 months ago
2004
Springer
We describe an efficient learning algorithm for aligning a symbolic representation of a musical piece with its acoustic counterpart. Our method employs a supervised learning appr...
98
Voted
BMCBI
2007
15 years 2 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
138
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ICRA
2010
IEEE
15 years 23 days ago
2010
IEEE
— Detecting the boundaries of objects is a key step in separating foreground objects from the background, which is useful for robotics and computer vision applications, such as o...
113
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CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
We introduce a new classification algorithm based on the concept of Symmetric Maximized Minimal distance in Subspace (SMMS). Given the training data of authentic samples and impos...