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» Efficient Learning of Relational Object Class Models
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ITICSE
2005
ACM
15 years 8 months ago
From objects-first to design-first with multimedia and intelligent tutoring
“Objects-first” is an increasingly popular strategy for teaching object-oriented programming by introducing the concepts of objects, classes, and instances before procedural e...
Sally H. Moritz, Fang Wei, Shahida M. Parvez, Glen...
ECOWS
2008
Springer
15 years 5 months ago
Beyond Soundness: On the Semantic Consistency of Executable Process Models
Executable business process models build on the specification of process activities, their implemented business functions (e.g., Web services) and the control flow between these a...
Ingo Weber, Jörg Hoffmann, Jan Mendling
DATAMINE
2008
143views more  DATAMINE 2008»
15 years 3 months ago
Automatically countering imbalance and its empirical relationship to cost
Learning from imbalanced datasets presents a convoluted problem both from the modeling and cost standpoints. In particular, when a class is of great interest but occurs relatively...
Nitesh V. Chawla, David A. Cieslak, Lawrence O. Ha...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 8 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
SADM
2010
141views more  SADM 2010»
14 years 10 months ago
A parametric mixture model for clustering multivariate binary data
: The traditional latent class analysis (LCA) uses a mixture model with binary responses on each subject that are independent conditional on cluster membership. However, in many pr...
Ajit C. Tamhane, Dingxi Qiu, Bruce E. Ankenman