An overview of statistical and information-theoretic aspects of hidden Markov processes (HMPs) is presented. An HMP is a discrete-time finite-state homogeneous Markov chain observe...
We consider the problem of learning a coefficient vector x0 ∈ RN from noisy linear observation y = Ax0 + w ∈ Rn . In many contexts (ranging from model selection to image proce...
Short Messaging Service (SMS) is popularly used to provide information access to people on the move. This has resulted in the growth of SMS based Question Answering (QA) services....
Govind Kothari, Sumit Negi, Tanveer A. Faruquie, V...
Conventional technology mapping algorithms for SRAM-based Field Programmable Gate Arrays (FPGAs) are normally carried out on a fixed logic decomposition of a circuit. The impact o...
: Semiparametric linear transformation models have received much attention due to its high flexibility in modeling survival data. A useful estimating equation procedure was recent...