107 search results - page 3 / 22 » Discovering Empirical Equations from Robot-Collected Data |
KDD
1998
ACM
14 years 2 months ago
1998
ACM
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
AAAI
2011
12 years 9 months ago
2011
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...
CSB
2005
IEEE
14 years 3 months ago
2005
IEEE
Experimental processes to collect and process proteomics data are increasingly complex, while the computational methods to assess the quality and significance of these data remain...
DIS
1998
Springer
14 years 2 months ago
1998
Springer
SDS2 is a system to discover and identify the quantitative model consisting of simultaneous equations re
ecting the rst principles underlying the objective process through experi...
PAKDD
1999
ACM
14 years 2 months ago
1999
ACM
Empirical equations are an important class of regularities that can be discovered in databases. In this paper we concentrate on the role of equations as de nitions of attribute val...