Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
We propose an interface specification language based on grammars for modular software model checking. In our interface specification language, component interfaces are specified a...
Program input syntactic structure is essential for a wide range of applications such as test case generation, software debugging and network security. However, such important info...
Nested words are a structured model of execution paths in procedural programs, reflecting their call and return nesting structure. Finite nested words also capture the structure ...
Several problems in text categorization are too hard to be solved by standard bag-of-words representations. Work in kernel-based learning has approached this problem by (i) consid...