A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
J. P. Agnelli, M. Cadeiras, E. G. Tabak, C. V. Tur...
Checking the correspondence between two or more database instances and enforcing it is a procedure widely used in practice without however having been explored from a theoretical ...
Checking the correspondence between two or more database instances and enforcing it is a procedure widely used in practice without however having been explored from a theoretical ...
—A novel formulation for optimal sensor selection and in-network fusion for distributed inference known as the prizecollecting data fusion (PCDF) is proposed in terms of optimal ...
Animashree Anandkumar, Meng Wang, Lang Tong, Anant...
Recent research has shown that collective classification in relational data often exhibit significant performance gains over conventional approaches that classify instances indi...