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ICML
2005
IEEE
16 years 19 days ago
Reducing overfitting in process model induction
In this paper, we review the paradigm of inductive process modeling, which uses background knowledge about possible component processes to construct quantitative models of dynamic...
Will Bridewell, Narges Bani Asadi, Pat Langley, Lj...
ICML
2003
IEEE
16 years 19 days ago
Incorporating Diversity in Active Learning with Support Vector Machines
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
Klaus Brinker
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
16 years 7 days ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
ICSE
2008
IEEE-ACM
15 years 12 months ago
Celadon: a change impact analysis tool for aspect-oriented programs
To reduce the manual effort of assessing potential affected program parts during software evolution, we develop a tool, called Celadon, which automates the change impact analysis ...
Sai Zhang, Zhongxian Gu, Yu Lin, Jianjun Zhao
ICFP
2007
ACM
15 years 11 months ago
Implicit phasing for R6RS libraries
The forthcoming Revised6 Report on Scheme differs from previous reports in that the language it describes is structured as a set of libraries. It also provides a syntax for defini...
Abdulaziz Ghuloum, R. Kent Dybvig