The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
Software developers often do not build software from scratch but reuse software libraries. In theory, the APIs of a library should be stable, but in practice they do change and th...
In this study, we combined the ChIP-seq and the transcriptome data and integrated these data into signaling cascades. Integration was realized through a framework based on data- a...
A general classification framework, called boosting chain, is proposed for learning boosting cascade. In this framework, a "chain" structure is introduced to integrate h...
Type constraints express subtype-relationships between the types of program expressions that are required for type-correctness, and were originally proposed as a convenient framewo...