1707 search results - page 284 / 342 » A Boosting Algorithm for Regression |
124
Voted
AAAI
2008
15 years 4 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
SDM
2008
SIAM
15 years 4 months ago
2008
SIAM
In many multiclass learning scenarios, the number of classes is relatively large (thousands,...), or the space and time efficiency of the learning system can be crucial. We invest...
97
Voted
DGO
2003
15 years 3 months ago
2003
Statistical models fit to data often require extensive and challenging re-estimation before achieving final form. For example, outliers can adversely affect fits. In other cas...
129
click to vote
UAI
2000
15 years 3 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
120
click to vote
ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...