1329 search results - page 103 / 266 » Randomly Sampling Molecules |
155
Voted
JMLR
2012
13 years 4 months ago
2012
A challenging problem of multi-label learning is that both the label space and the model complexity will grow rapidly with the increase in the number of labels, and thus makes the...
126
Voted
CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
172
Voted
BMCBI
2004
15 years 2 months ago
2004
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
112
Voted
GECCO
2007
Springer
15 years 8 months ago
2007
Springer
Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental appro...
ICMLA
2008
15 years 3 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...