1329 search results - page 195 / 266 » Randomly Sampling Molecules |
AAAI
2011
12 years 9 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...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
STOC
2007
ACM
14 years 9 months ago
2007
ACM
In this work, we consider the problems of testing whether a distribution over {0, 1}n is k-wise (resp. ( , k)-wise) independent using samples drawn from that distribution. For the...
SIGMOD
2009
ACM
14 years 9 months ago
2009
ACM
Conditional functional dependencies (CFDs) have recently been proposed as extensions of classical functional dependencies that apply to a certain subset of the relation, as specif...
EDBT
2006
ACM
14 years 9 months ago
2006
ACM
Current methods for selectivity estimation fall into two broad categories, synopsis-based and sampling-based. Synopsis-based methods, such as histograms, incur minimal overhead at ...