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» ML-KNN: A lazy learning approach to multi-label learning
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ICCBR
2001
Springer
13 years 9 months ago
A Case-Based Reasoning View of Automated Collaborative Filtering
From some perspectives Automated Collaborative Filtering (ACF) appears quite similar to Case-Based Reasoning (CBR). It works on data organised around users and assets that might be...
Conor Hayes, Padraig Cunningham, Barry Smyth
PROCEDIA
2010
140views more  PROCEDIA 2010»
13 years 3 months ago
Jaccard Index based availability prediction in enterprise grids
Enterprise Grid enables sharing and aggregation of a set of computing or storage resources connected by enterprise network, but the availability of the resources in this environme...
Mustafizur Rahman 0003, Md. Rafiul Hassan, Rajkuma...
SBRN
2008
IEEE
13 years 11 months ago
Using a Probabilistic Neural Network for a Large Multi-label Problem
The automation of the categorization of economic activities from business descriptions in free text format is a huge challenge for the Brazilian governmental administration in the...
Elias Oliveira, Patrick Marques Ciarelli, Alberto ...
APIN
2008
108views more  APIN 2008»
13 years 5 months ago
Achieving self-healing in service delivery software systems by means of case-based reasoning
Abstract Self-healing, i.e. the capability of a system to autonomously detect failures and recover from them, is a very attractive property that may enable large-scale software sys...
Stefania Montani, Cosimo Anglano