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» Decision Trees for Uncertain Data
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PODS
2007
ACM
196views Database» more  PODS 2007»
16 years 2 months ago
On the complexity of managing probabilistic XML data
In [3], we introduced a framework for querying and updating probabilistic information over unordered labeled trees, the probabilistic tree model. The data model is based on trees ...
Pierre Senellart, Serge Abiteboul
BIRTHDAY
2008
Springer
15 years 4 months ago
AND/OR Multi-valued Decision Diagrams for Constraint Networks
The paper is an overview of a recently developed compilation data structure for graphical models, with specific application to constraint networks. The AND/OR Multi-Valued Decision...
Robert Mateescu, Rina Dechter
ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
15 years 5 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
AUSDM
2006
Springer
114views Data Mining» more  AUSDM 2006»
15 years 5 months ago
Consolidated Trees: An Analysis of Structural Convergence
When different subsamples of the same data set are used to induce classification trees, the structure of the built classifiers is very different. The stability of the structure of ...
Jesús M. Pérez, Javier Muguerza, Ola...
GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
15 years 7 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...