111 search results - page 17 / 23 » Randomized computations on large data sets: tight lower boun... |
134
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JMLR
2008
15 years 11 days ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
98
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IADIS
2008
15 years 1 months ago
2008
One approach to reduce the complexity of the task in the analysis of large scale genome-wide expression is to group the genes showing similar expression patterns into what are cal...
110
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COLT
1992
Springer
15 years 4 months ago
1992
Springer
Language learning from positive data in the Gold model of inductive inference is investigated in a setting where the data can be modeled as a stochastic process. Specifically, the...
112
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FOCM
2011
14 years 3 months ago
2011
This paper considers large-scale simulations of wave propagation phenomena. We argue that it is possible to accurately compute a wavefield by decomposing it onto a largely incomp...
SPAA
2004
ACM
15 years 5 months ago
2004
ACM
We study the problem of how resilient networks are to node faults. Specifically, we investigate the question of how many faults a network can sustain and still contain a large (i...