Abstract. We propose a thresholded ensemble model for ordinal regression problems. The model consists of a weighted ensemble of confidence functions and an ordered vector of thres...
We study the problem of computing waveletbased synopses for massive data sets in static and streaming environments. A compact representation of a data set is obtained after a thre...
Some telecommunication systems can not afford the cost of repeating a corrupted message. Instead, the message should be somewhat “corrected” by the receiver. In these cases a...
In this paper we present a comparative simulation study of three denoising algorithms using wavelets. The denoising algorithms (i.e., universal threshold, minimax threshold and ri...
M. C. E. Rosas-Orea, M. Hernandez-Diaz, Vicente Al...
In the paper, two evolutionary approaches to the general DNA sequencing problem, assuming both negative and positive errors in the spectrum, are compared. The older of them is base...