Predictive user models often require a phase of effortful supervised training where cases are tagged with labels that represent the status of unobservable variables. We formulate a...
Structured prediction tasks pose a fundamental trade-off between the need for model complexity to increase predictive power and the limited computational resources for inference i...
Many embedded processors use highly associative data caches implemented using a CAM-based tag search. When high-associativity is desirable, CAM designs can offer performance advan...
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
tmRNA (also known as 10Sa RNA) is so-named for its dual tRNA-like and mRNA-like nature. It is employed in a remarkable trans-translation process to add a Cterminal peptide tag to ...