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» Learning with Weblogs: An Empirical Investigation
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GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving GP classifier generalization using a cluster separation metric
Genetic Programming offers freedom in the definition of the cost function that is unparalleled among supervised learning algorithms. However, this freedom goes largely unexploited...
Ashley George, Malcolm I. Heywood
ICTAI
2010
IEEE
13 years 5 months ago
Obtaining Bipartitions from Score Vectors for Multi-Label Classification
Multi-label classification is a popular learning task. However, some of the algorithms that learn from multi-label data, can only output a score for each label, so they cannot be r...
Marios Ioannou, George Sakkas, Grigorios Tsoumakas...
MC
2008
122views Computer Science» more  MC 2008»
13 years 8 months ago
Interaction Techniques for Case Selection in Medical Computer Based Training Systems
The vast majority of medical computer-based training (CBT) systems aim at problem-oriented case based training. A crucial issue in the design of CBT systems is the selection of ap...
Ragnar Bade, Jeanette Cordes, Maik Mewes, Bernhard...
ISSRE
2003
IEEE
14 years 18 days ago
Anomalies as Precursors of Field Failures
Reproducing and learning from failures in deployed software is costly and difficult. Those activities can be facilitated, however, if the circumstances leading to a failure are p...
Sebastian G. Elbaum, Satya Kanduri, Anneliese Amsc...
NIPS
2004
13 years 8 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang