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» Predictive Hebbian Learning
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DIS
2008
Springer
15 years 4 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
CGF
2010
155views more  CGF 2010»
15 years 3 months ago
SmallWorlds: Visualizing Social Recommendations
We present SmallWorlds, a visual interactive graph-based interface that allows users to specify, refine and build item-preference profiles in a variety of domains. The interface f...
Brynjar Gretarsson, John O'Donovan, Svetlin Bostan...
136
Voted
ALGORITHMICA
2006
74views more  ALGORITHMICA 2006»
15 years 3 months ago
Parallelizing Feature Selection
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
Jerffeson Teixeira de Souza, Stan Matwin, Nathalie...
122
Voted
DATAMINE
2006
117views more  DATAMINE 2006»
15 years 3 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
CORR
2002
Springer
91views Education» more  CORR 2002»
15 years 3 months ago
Data Engineering for the Analysis of Semiconductor Manufacturing Data
We have analyzed manufacturing data from several different semiconductor manufacturing plants, using decision tree induction software called Q-YIELD. The software generates rules ...
Peter D. Turney