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» Constraint Programming for Data Mining and Machine Learning
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ICCV
2009
IEEE
16 years 8 months ago
Constrained Clustering by Spectral Kernel Learning
Clustering performance can often be greatly improved by leveraging side information. In this paper, we consider constrained clustering with pairwise constraints, which specify s...
Zhenguo Li, Jianzhuang Liu
ICDM
2007
IEEE
96views Data Mining» more  ICDM 2007»
15 years 9 months ago
The Chosen Few: On Identifying Valuable Patterns
Constrained pattern mining extracts patterns based on their individual merit. Usually this results in far more patterns than a human expert or a machine learning technique could m...
Björn Bringmann, Albrecht Zimmermann
PRL
2011
14 years 6 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
AIIA
1997
Springer
15 years 7 months ago
Introducing Abduction into (Extensional) Inductive Logic Programming Systems
We propose an approach for the integration of abduction and induction in Logic Programming. In particular, we show how it is possible to learn an abductive logic program starting f...
Evelina Lamma, Paola Mello, Michela Milano, Fabriz...
128
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ECML
2001
Springer
15 years 7 months ago
Discovering Admissible Simultaneous Equation Models from Observed Data
Conventional work on scienti c discovery such as BACON derives empirical law equations from experimental data. In recent years, SDS introducing mathematical admissibility constrain...
Takashi Washio, Hiroshi Motoda, Yuji Niwa