Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
Power consumption and power density for the Translation Lookaside Buffer (TLB) are important considerations not only in its design, but can have a consequence on cache design as w...
Ismail Kadayif, Anand Sivasubramaniam, Mahmut T. K...
The Gamma language is based on the chemical reaction metaphor which has a number of benefits with respect to parallelism and program derivation. But the original definition of G...
—The number of CPUs in chip multiprocessors is growing at the Moore’s Law rate, due to continued technology advances. However, new technologies pose serious reliability challen...