111 search results - page 17 / 23 » Randomized computations on large data sets: tight lower boun... |
JMLR
2008
13 years 7 months 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...
IADIS
2008
13 years 9 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...
COLT
1992
Springer
13 years 11 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...
FOCM
2011
12 years 11 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
14 years 27 days 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...