662 search results - page 123 / 133 » Making inferences with small numbers of training sets |
HUC
2010
Springer
13 years 9 months ago
2010
Springer
A fairly common modern setting entails users, each in possession of a personal wireless device, wanting to communicate securely, via their devices. If these users (and their devic...
CCR
2002
13 years 8 months ago
2002
Most network protocols are uni-modal: they employ a single set of algorithms that allows them to cope well only within a narrow range of operating conditions. This rigid design re...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-s...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
SIGIR
2006
ACM
14 years 2 months ago
2006
ACM
We consider the problem of large-scale retrieval evaluation, and we propose a statistical method for evaluating retrieval systems using incomplete judgments. Unlike existing techn...