2898 search results - page 220 / 580 » Ensemble Methods in Machine Learning |
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We present a novel approach to embedding data represented by a network into a lowdimensional Euclidean space. Unlike existing methods, the proposed method attempts to minimize an ...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
ACL
2006
13 years 9 months ago
2006
In this paper, we present a method that improves Japanese dependency parsing by using large-scale statistical information. It takes into account two kinds of information not consi...
ML
2010
ACM
13 years 6 months ago
2010
ACM
When only a small number of labeled samples are available, supervised dimensionality reduction methods tend to perform poorly due to overfitting. In such cases, unlabeled samples ...
ICALT
2011
IEEE
12 years 8 months ago
2011
IEEE
Abstract—This work proposes a novel approach - personalized forecasting - to take into account the sequential effect in predicting student performance (PSP). Instead of using all...