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ICML
2005
IEEE
14 years 11 months ago
Combining model-based and instance-based learning for first order regression
T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
Kurt Driessens, Saso Dzeroski
SIGSOFT
2008
ACM
14 years 11 months ago
Inter-context control-flow and data-flow test adequacy criteria for nesC applications
NesC is a programming language for applications that run on top of networked sensor nodes. Such an application mainly uses an interrupt to trigger a sequence of operations, known ...
Zhifeng Lai, Shing-Chi Cheung, Wing Kwong Chan
WWW
2003
ACM
14 years 10 months ago
Monitoring the dynamic web to respond to continuous queries
Continuous queries are queries for which responses given to users must be continuously updated, as the sources of interest get updated. Such queries occur, for instance, during on...
Sandeep Pandey, Krithi Ramamritham, Soumen Chakrab...
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
14 years 10 months ago
Multi-focal learning and its application to customer service support
In this study, we formalize a multi-focal learning problem, where training data are partitioned into several different focal groups and the prediction model will be learned within...
Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo...
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
14 years 10 months ago
Constant-factor approximation algorithms for identifying dynamic communities
We propose two approximation algorithms for identifying communities in dynamic social networks. Communities are intuitively characterized as "unusually densely knit" sub...
Chayant Tantipathananandh, Tanya Y. Berger-Wolf