476 search results - page 27 / 96 » Learning When to Use Lazy Learning in Constraint Solving |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
SEAL
2010
Springer
13 years 5 months ago
2010
Springer
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
ECML
2006
Springer
13 years 11 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...