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AAAI
2007
15 years 2 months ago
Cautious Inference in Collective Classification
Collective classification can significantly improve accuracy by exploiting relationships among instances. Although several collective inference procedures have been reported, they...
Luke McDowell, Kalyan Moy Gupta, David W. Aha
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 4 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
ACSW
2004
15 years 1 months ago
Visualisation and Comparison of Image Collections based on Self-organised Maps
Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to...
Da Deng, Jianhua Zhang, Martin K. Purvis
104
Voted
ADMA
2006
Springer
143views Data Mining» more  ADMA 2006»
15 years 4 months ago
Robust Collective Classification with Contextual Dependency Network Models
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
YongHong Tian, Tiejun Huang, Wen Gao
92
Voted
VLDB
1993
ACM
142views Database» more  VLDB 1993»
15 years 4 months ago
Collections of Objects in SQL3
SQL3generalizestherelationalmodelinto anobjectmodel abstract data types, multiple inheritance, and dynamic polymorphism. Tables may then contain collections (multisets) of objects...
David Beech