7648 search results - page 6 / 1530 » A Data Locality Optimizing Algorithm |
CDC
2009
IEEE
14 years 7 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
77
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JCM
2006
14 years 9 months ago
2006
Decentralized sensor networks are collections of individual local sensors that observe a common phenomenon, quantize their observations, and send this quantized information to a ce...
ECAI
2004
Springer
15 years 3 months ago
2004
Springer
In this paper we propose a novel classification algorithm that fits models of different complexity on separate regions of the input space. The goal is to achieve a balance betwee...
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
120
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ML
1998
ACM
14 years 9 months ago
1998
ACM
To operate successfully in indoor environments, mobile robots must be able to localize themselves. Most current localization algorithms lack flexibility, autonomy, and often optim...