Hidden Markov Models (HMMs) are an useful and widely utilized approach to the modeling of data sequences. One of the problems related to this technique is finding the optimal stru...
Motivation: Existing methods for protein sequence analysis are generally firstorder and inherently assume that each position is independent. We develop a general framework for int...
Martin Madera, Ryan Calmus, Grant Thiltgen, Kevin ...
— The complexity of a design process or a design artifact substantially influences their performance. When evaluation of terms such as “design complexity” and its “quality...
Background: We investigate the empirical complexity of the RNA secondary structure design problem, that is, the scaling of the typical difficulty of the design task for various cl...
This paper presents a method towards automatic structural synthesis of analog multiplier based on a hierarchilogy “super-topology”, which is abstracted from the most standard ...