97 search results - page 14 / 20 » Random Sampling from Pseudo-Ranked B Trees |
BMCBI
2007
13 years 8 months ago
2007
Background: Independently derived expression profiles of the same biological condition often have few genes in common. In this study, we created populations of expression profiles...
NIPS
2004
13 years 9 months ago
2004
Go is an ancient oriental game whose complexity has defeated attempts to automate it. We suggest using probability in a Bayesian sense to model the uncertainty arising from the va...
ICALP
2010
Springer
14 years 21 days ago
2010
Springer
Some of the currently best-known approximation algorithms for network design are based on random sampling. One of the key steps of such algorithms is connecting a set of source nod...
IPL
2006
13 years 7 months ago
2006
The strongest well-known measure for the quality of a universal hash-function family H is its being -strongly universal, which measures, for randomly chosen h H, one's inabi...
AAAI
2011
12 years 8 months ago
2011
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...