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» Representation dependence testing using program inversion
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BMCBI
2008
166views more  BMCBI 2008»
13 years 7 months ago
Learning transcriptional regulatory networks from high throughput gene expression data using continuous three-way mutual informa
Background: Probability based statistical learning methods such as mutual information and Bayesian networks have emerged as a major category of tools for reverse engineering mecha...
Weijun Luo, Kurt D. Hankenson, Peter J. Woolf
POPL
2005
ACM
14 years 8 months ago
Mutatis mutandis: safe and predictable dynamic software updating
Dynamic software updates can be used to fix bugs or add features to a running program without downtime. Essential for some applications and convenient for others, low-level dynami...
Gareth Stoyle, Michael W. Hicks, Gavin M. Bierman,...
ESWS
2009
Springer
14 years 2 months ago
Improving Ontology Matching Using Meta-level Learning
Despite serious research efforts, automatic ontology matching still suffers from severe problems with respect to the quality of matching results. Existing matching systems trade-of...
Kai Eckert, Christian Meilicke, Heiner Stuckenschm...
COMPGEOM
1996
ACM
13 years 12 months ago
Robust Adaptive Floating-Point Geometric Predicates
Fast C implementations of four geometric predicates, the 2D and 3D orientation and incircle tests, are publicly available. Their inputs are ordinary single or double precision flo...
Jonathan Richard Shewchuk
ICSM
2002
IEEE
14 years 19 days ago
Constructing Precise Object Relation Diagrams
The Object Relation Diagram (ORD) of a program is a class interdependence diagram which has applications in a wide variety of software engineering problems (e.g., integration test...
Ana Milanova, Atanas Rountev, Barbara G. Ryder