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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
16 years 18 days ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
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ICDM
2007
IEEE
153views Data Mining» more  ICDM 2007»
16 years 18 days ago
HSN-PAM: Finding Hierarchical Probabilistic Groups from Large-Scale Networks
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
Haizheng Zhang, Wei Li, Xuerui Wang, C. Lee Giles,...
IDEAS
2007
IEEE
71views Database» more  IDEAS 2007»
16 years 18 days ago
Feature Space Enrichment by Incorporation of Implicit Features for Effective Classification
Feature Space Conversion for classifiers is the process by which the data that is to be fed into the classifier is transformed from one form to another. The motivation behind doin...
Abhishek Srivastava, Osmar R. Zaïane, Maria-L...
APN
2007
Springer
16 years 14 days ago
A Compositional Method for the Synthesis of Asynchronous Communication Mechanisms
Asynchronous data communication mechanisms (ACMs) have been extensively studied as data connectors between independently timed concurrent processes. In previous work, an automatic ...
Kyller Costa Gorgônio, Jordi Cortadella, Fei...
DBPL
2007
Springer
100views Database» more  DBPL 2007»
16 years 14 days ago
Provenance as Dependency Analysis
Abstract. Provenance is information recording the source, derivation, or history of some information. Provenance tracking has been studied in a variety of settings; however, althou...
James Cheney, Amal Ahmed, Umut A. Acar