620 search results - page 114 / 124 » Learning with Temporary Memory |
KDD
2009
ACM
14 years 7 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
2007
ACM
14 years 7 months ago
2007
ACM
Analyzing data on-board a spacecraft as it is collected enables several advanced spacecraft capabilities, such as prioritizing observations to make the best use of limited bandwid...
ICS
2010
Tsinghua U.
14 years 4 months ago
2010
Tsinghua U.
: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
IDEAS
2005
IEEE
14 years 28 days ago
2005
IEEE
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...