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LWA
2008
8 years 5 months ago
Weighted Voting as Approximate MAP Prediction in Pairwise Classification
Weighted voting is the commonly used strategy for combining predictions in pairwise classification. Even though it shows excellent performance in practice, it is often criticized ...
Eyke Hüllermeier, Stijn Vanderlooy
AI
2008
Springer
8 years 4 months ago
Label ranking by learning pairwise preferences
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...
Eyke Hüllermeier, Johannes Fürnkranz, We...
DCAI
2008
8 years 6 months ago
Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles
. In this paper, a forecasting system is presented. It predicts the presence of oil slicks in a certain area of the open sea after an oil spill using Case-Based Reasoning methodolo...
Aitor Mata, Emilio Corchado, Bruno Baruque
HAIS
2008
Springer
8 years 5 months ago
A WeVoS-CBR Approach to Oil Spill Problem
The hybrid intelligent system presented here, forecasts the presence or not of oil slicks in a certain area of the open sea after an oil spill using CaseBased Reasoning methodology...
Emilio Corchado, Bruno Baruque, Aitor Mata, Juan M...
IUI
2005
ACM
8 years 10 months ago
Intelligent data entry assistant for XML using ensemble learning
XML has emerged as the primary standard of data representation and data exchange [13]. Although many software tools exist to assist the XML implementation process, data must be ma...
Danico Lee, Costas Tsatsoulis
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