In this paper we propose a new nonparametric approach to identification of linear time invariant systems using subspace methods. The nonparametric paradigm to prediction of station...
Alessandro Chiuso, Gianluigi Pillonetto, Giuseppe ...
An incremental dependency parser's probability model is entered as a predictor in a linear mixed-effects model of German readers' eye-fixation durations. This dependency...
Marisa Ferrara Boston, John T. Hale, Reinhold Klie...
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
While uniprocessor garbage collection is relatively well understood, experience with collectors for large multiprocessor servers is limited and it is unknown which techniques best ...
C. Richard Attanasio, David F. Bacon, Anthony Cocc...
Background: Typically, pooling of mRNA samples in microarray experiments implies mixing mRNA from several biological-replicate samples before hybridization onto a microarray chip....
Raghunandan M. Kainkaryam, Angela Bruex, Anna C. G...