Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Given a strong match between regions of two sequences, how far can the match be meaningfully extended if gaps are allowed in the resulting alignment? The aim is to avoid searching...
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
— In this paper, the possibility for a short–range cognitive radio (secondary communication system) to be located within the service area of the primary system is discussed. Al...
Kentaro Nishimori, Rocco Di Taranto, Hiroyuki Yomo...