801 search results - page 64 / 161 » Machine Learning with Data Dependent Hypothesis Classes |
AICCSA
2006
IEEE
13 years 10 months ago
2006
IEEE
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
FOCS
2008
IEEE
14 years 3 months ago
2008
IEEE
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
This paper proposes a novel decision tree for a data set with time-series attributes. Our time-series tree has a value (i.e. a time sequence) of a time-series attribute in its int...
HIS
2008
13 years 10 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...