Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling...
The knowledge of channel statistics can be very helpful in making sound opportunistic spectrum access decisions. It is therefore desirable to be able to efficiently and accurately...
Correct prediction of signal peptide cleavage sites has a significant impact on drug design. State-of-the-art approaches to cleavage site prediction typically use generative mode...
We present a novel language identification technique using our recently developed deep-structured conditional random fields (CRFs). The deep-structured CRF is a multi-layer CRF mo...
This paper reports that in parallel Monte-Carlo simulations of the 2D Ising-Model, commonly used pseudo-random number generators (PRNG) lead to manifestly erroneous results. When ...
Hyo Ashihara, Ai Kuramoto, Isaku Wada, Makoto Mats...