The paper is an overview of a recently developed compilation data structure for graphical models, with specific application to constraint networks. The AND/OR Multi-Valued Decision...
- Here proposed apriori method for identification of protein flexibility relies on one end-state conformation of the protein. This method has comparative advantage over many others...
We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation...
Language resources can be classified under several categories. To be able to query and operate on all (or most of) these categories using a single digital tool would be very helpf...
We introduce a framework for actively learning visual categories from a mixture of weakly and strongly labeled image examples. We propose to allow the categorylearner to strategic...