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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
WSC
2008
13 years 10 months ago
Using situational simulations to collect and analyze dynamic construction management decision-making data
In this paper we lay the foundations for studying decisionmaking in complex dynamic construction management scenarios using situational simulations as experimental testbeds. We dr...
Matt Watkins, Amlan Mukherjee, Nilufer Onder
CIKM
2008
Springer
13 years 9 months ago
Learning to link with wikipedia
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
David N. Milne, Ian H. Witten
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Roughly Balanced Bagging for Imbalanced Data
Imbalanced class problems appear in many real applications of classification learning. We propose a novel sampling method to improve bagging for data sets with skewed class distri...
Shohei Hido, Hisashi Kashima
EUMAS
2006
13 years 9 months ago
E*plore-ing the Simulation Design Space
One of the major puzzles in performing multi-agent-based simulations is the validity of their results. Optimisation of simulation parameters can lead to results that can be deceit...
Luis Antunes, Helder Coelho, João Balsa