By determining, statically, where the structure of a program requires sets of variables to share a common tation, we can identify abstract data types, detect ion violations, find ...
Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene...
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, ...
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
We propose a class of constraints, referred to as conditional functional dependencies (CFDs), and study their applications in data cleaning. In contrast to traditional functional ...
Philip Bohannon, Wenfei Fan, Floris Geerts, Xibei ...
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...