130 search results - page 4 / 26 » Meaning Representation: From Continuity to Discreteness |
181
click to vote
EUSFLAT
2003
15 years 7 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...
272
click to vote
SIGMOD
2008
ACM
16 years 6 months ago
2008
ACM
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
145
click to vote
COR
2006
15 years 6 months ago
2006
Discretization is defined as the process that divides continuous numeric values into intervals of discrete categorical values. In this article, the concept of cost-based discretiz...
193
click to vote
BMCBI
2008
15 years 6 months ago
2008
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
164
click to vote
PR
2007
15 years 5 months ago
2007
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...