108 search results - page 5 / 22 » Zeta: A Global Method for Discretization of Continuous Varia... |
ICDM
2003
IEEE
15 years 3 months ago
2003
IEEE
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
EUSFLAT
2003
14 years 11 months ago
2003
This paper proposes a method for Bayesian networks that handles uncertainty and discretization of continuous variables when learning the networks from a database of cases. The dat...
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Publication
I. Introduction
II. Foundations
A. The Mathematical Structure of Physical Field Theories
B. Geometric Objects and Orientation
1. Space-Time Object...
MP
2007
14 years 9 months ago
2007
Many practical optimization problems involve nonsmooth (that is, not necessarily differentiable) functions of thousands of variables. In the paper [Haarala, Miettinen, M¨akel¨a,...
ICDM
2008
IEEE
15 years 4 months ago
2008
IEEE
Semi-supervised classification methods aim to exploit labelled and unlabelled examples to train a predictive model. Most of these approaches make assumptions on the distribution ...