4208 search results - page 323 / 842 » Challenges in Evaluating Distributed Algorithms |
145
Voted
JCM
2007
15 years 4 months ago
2007
Abstract— We have used measurements taken on real network to enhance the performance of our radio network planning tool. A distribution learning technique is adopted to realize t...
121
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NIPS
2008
15 years 6 months ago
2008
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
150
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EDBT
2004
ACM
16 years 5 months ago
2004
ACM
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
153
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AAIM
2009
Springer
15 years 11 months ago
2009
Springer
During the last years, a wide range of huge networks has been made available to researchers. The discovery of natural groups, a task called graph clustering, in such datasets is a ...
137
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ATAL
2006
Springer
15 years 8 months ago
2006
Springer
Developing scalable algorithms for solving partially observable Markov decision processes (POMDPs) is an important challenge. One promising approach is based on representing POMDP...