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ICML
2005
IEEE
16 years 7 months ago
Hierarchic Bayesian models for kernel learning
The integration of diverse forms of informative data by learning an optimal combination of base kernels in classification or regression problems can provide enhanced performance w...
Mark Girolami, Simon Rogers
ITCC
2005
IEEE
15 years 12 months ago
Using Formal Concept Analysis to Establish Model Dependencies
models evolve at different levels of abstraction, from the requirements specification to development of the source code. The models underlying this process are related and their ...
Igor Ivkovic, Kostas Kontogiannis
MSR
2005
ACM
15 years 12 months ago
Recovering system specific rules from software repositories
One of the most successful applications of static analysis based bug finding tools is to search the source code for violations of system-specific rules. These rules may describe h...
Chadd C. Williams, Jeffrey K. Hollingsworth
BRAIN
2010
Springer
15 years 3 months ago
Domain-Specific Modeling as a Pragmatic Approach to Neuronal Model Descriptions
Biologically realistic modeling has been greatly facilitated by the development of neuro-simulators, and the development of simulatorindependent formats for model exchange is the s...
Ralf Ansorg, Lars Schwabe
IWPC
2003
IEEE
15 years 11 months ago
Facilitating Program Comprehension by Mining Association Rules from Source Code
Program comprehension is an important part of software maintenance, especially when program structure is complex and documentation is unavailable or outdated. Data mining can prod...
Christos Tjortjis, Loukas Sinos, Paul J. Layzell