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» The Problems of Data Modeling in Software Practice
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FOSSACS
2011
Springer
14 years 8 months ago
Minimizing Deterministic Lattice Automata
Traditional automata accept or reject their input, and are therefore Boolean. In contrast, weighted automata map each word to a value from a semiring over a large domain. The speci...
Shulamit Halamish, Orna Kupferman
SIGIR
2009
ACM
15 years 11 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
KDD
2004
ACM
154views Data Mining» more  KDD 2004»
16 years 4 months ago
Diagnosing extrapolation: tree-based density estimation
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Giles Hooker
FOCS
2008
IEEE
15 years 11 months ago
Mixing Time of Exponential Random Graphs
A plethora of random graph models have been developed in recent years to study a range of problems on networks, driven by the wide availability of data from many social, telecommu...
Shankar Bhamidi, Guy Bresler, Allan Sly
SIGSOFT
2010
ACM
15 years 2 months ago
The missing links: bugs and bug-fix commits
Empirical studies of software defects rely on links between bug databases and program code repositories. This linkage is typically based on bug-fixes identified in developer-enter...
Adrian Bachmann, Christian Bird, Foyzur Rahman, Pr...