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SDM
2004
SIAM
225views Data Mining» more  SDM 2004»
15 years 8 months ago
Active Semi-Supervision for Pairwise Constrained Clustering
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
Sugato Basu, Arindam Banerjee, Raymond J. Mooney
DATAMINE
2010
166views more  DATAMINE 2010»
15 years 6 months ago
Optimal constraint-based decision tree induction from itemset lattices
In this article we show that there is a strong connection between decision tree learning and local pattern mining. This connection allows us to solve the computationally hard probl...
Siegfried Nijssen, Élisa Fromont
SIGACT
2010
68views more  SIGACT 2010»
15 years 1 months ago
A survey of buffer management policies for packet switches
Over the past decade, there has been great interest in the study of buffer management policies in the context of packet transmission for network switches. In a typical model, a sw...
Michael H. Goldwasser
192
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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
16 years 1 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
ICML
2005
IEEE
16 years 7 months ago
Using additive expert ensembles to cope with concept drift
We consider online learning where the target concept can change over time. Previous work on expert prediction algorithms has bounded the worst-case performance on any subsequence ...
Jeremy Z. Kolter, Marcus A. Maloof