46 search results - page 3 / 10 » SECRET: a scalable linear regression tree algorithm |
SDM
2011
SIAM
12 years 11 months ago
2011
SIAM
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
WWW
2011
ACM
13 years 3 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
DIS
2001
Springer
14 years 1 months ago
2001
Springer
In the context of classification problems, algorithms that generate multivariate trees are able to explore multiple representation languages by using decision tests based on a com...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
String kernels which compare the set of all common substrings between two given strings have recently been proposed by Vishwanathan & Smola (2004). Surprisingly, these kernels...