1310 search results - page 138 / 262 » Learning the k in k-means |
148
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COLT
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. We consider the design of online master algorithms for combining the predictions from a set of experts where the absolute loss of the master is to be close to the absolut...
155
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DAGM
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
135
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ECTEL
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. There are specific sectors of the economy that can benefit from satellite-based tele-education. Areas, such as maritime and agriculture, share common needs for both broad...
156
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NIPS
2007
15 years 7 months ago
2007
This paper1 explores the use of a Maximal Average Margin (MAM) optimality principle for the design of learning algorithms. It is shown that the application of this risk minimizati...
177
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NIPS
1998
15 years 7 months ago
1998
We describe a new iterative method for parameter estimation of Gaussian mixtures. The new method is based on a framework developed by Kivinen and Warmuth for supervised on-line le...