Recently, significant progress has been made on learning structured predictors via coordinated training algorithms such as conditional random fields and maximum margin Markov ne...
In this paper we consider a regularization approach to variable selection when the regression function depends nonlinearly on a few input variables. The proposed method is based o...
Lorenzo Rosasco, Matteo Santoro, Sofia Mosci, Ales...
We present an adaptation of constraint satisfaction inference (Canisius et al., 2006b) for predicting dependency trees. Three different classifiers are trained to predict weighte...
Abstract— Inter frame prediction technique significantly improves the compression efficiency in the hybrid video coding schemes. However, this technique causes the decoding dep...
Xiaopeng Fan, Oscar C. Au, Yan Chen, Jiantao Zhou,...
: Scenarios/use cases have gained wide-spread use over the last couple of years. In software engineering they are mainly used to capture requirements and specify a system. Many sof...