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CORR
2006
Springer
76views Education» more  CORR 2006»
15 years 4 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
145
Voted
SDM
2004
SIAM
224views Data Mining» more  SDM 2004»
15 years 5 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 5 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 9 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 9 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