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CORR
2006
Springer
76views Education» more  CORR 2006»
15 years 6 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
15 years 7 months ago
Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules
In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to par...
Alípio Jorge
HIS
2008
15 years 7 months ago
Artificial Data Sets Based on Knowledge Generators: Analysis of Learning Algorithms Efficiency
This paper proposes a methodology to generate artificial data sets to evaluate the behavior of machine learning techniques. The methodology relies in the definition of a domain an...
Joaquin Rios-Boutin, Albert Orriols-Puig, Josep Ma...
RSCTC
2004
Springer
110views Fuzzy Logic» more  RSCTC 2004»
15 years 11 months ago
A Graded Applicability of Rules
We address the problem of rough applicability of rules within the framework of approximation spaces. The graded applicability of a rule for an object of an approximation space, int...
Anna Gomolinska
ESAW
2004
Springer
15 years 11 months ago
Techniques for Analysis and Calibration of Multi-agent Simulations
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...
Manuel Fehler, Franziska Klügl, Frank Puppe