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UAI
1996
13 years 9 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
DEXAW
2004
IEEE
166views Database» more  DEXAW 2004»
13 years 11 months ago
Development of Flexible Peer-To-Peer Information Systems Using Adaptable Mobile Agents
Wide-area networks provide an easy access to many different distributed and heterogeneous data sources. The development of automated operating tools is still complex, particularly...
Jean-Paul Arcangeli, Sebastien Leriche, Marc Pante...
KBSE
2005
IEEE
14 years 1 months ago
Locating faulty code using failure-inducing chops
Software debugging is the process of locating and correcting faulty code. Prior techniques to locate faulty code either use program analysis techniques such as backward dynamic pr...
Neelam Gupta, Haifeng He, Xiangyu Zhang, Rajiv Gup...
ECEASST
2006
305views more  ECEASST 2006»
13 years 7 months ago
The ParMol Package for Frequent Subgraph Mining
Mining for frequent subgraphs in a graph database has become a popular topic in the last years. Algorithms to solve this problem are used in chemoinformatics to find common molecul...
Thorsten Meinl, Marc Wörlein, Olga Urzova, In...
KBSE
1995
IEEE
13 years 11 months ago
A Transformation System for Interactive Reformulation of Design Optimization Strategies
Numerical design optimization algorithms are highly sensitive to the particular formulation of the optimization problems they are given. The formulation of the search space, the o...
Thomas Ellman, John Keane, Takahiro Murata, Mark S...