Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...
Spectral voice conversion is usually performed using a single model selected in order to represent a tradeoff between goodness of fit and complexity. Recently, we proposed a new ...
Abstract. Feature modeling is a technique for capturing commonality and variability. Feature models symbolize a representation of the possible application configuration space, and ...
Ebrahim Bagheri, Tommaso Di Noia, Azzurra Ragone, ...
This paper describes a hidden Markov model (HMM) based approach to perform search interface segmentation. Automatic processing of an interface is a must to access the invisible co...
Reciprocity is a pervasive concept that plays an important role in governing people’s behavior, judgments, and thus their social interactions. In this paper we present an analys...