We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
The large amount of information now available on the Web can play a prominent role in building a cooperative intelligent distance learning environment. We propose a system to prov...
Mohammed Abdel Razek, Claude Frasson, Marc Kaltenb...
The processes carried out in a hospital emergency department can be thought of as structures of activities that require resources in order to execute. Costs are reduced when resou...