Abstract. Accurately evaluating statistical independence among random variables is a key component of Independent Component Analysis (ICA). In this paper, we employ a squared-loss ...
— Computational prediction of transcription factor’s binding sites and regulatory target genes has great value to the biological studies of cellular process. Existing practices...
This paper presents the preliminary findings of the Electronic Portfolio Student Perspective Instrument (EPSPI) developed to ascertain student attitudes and intended uses of ePort...
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
In this paper, we consider the problem of color restoration using statistical priors. This is applied to color recovery for underwater images, using an energy minimization formulat...