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In this work, we present an approach to take advantage of confidence measures obtained during the recognition and understanding processes of a dialog system, in order to guide the behavior of the dialog manager. Our approach allows the system to ask the user for confirmation about the data which have low confidence values associated to them, after the(More)
The signaling mechanisms by which skeletal muscle electrical activity leads to changes in gene expression remain largely undefined. We have reported that myotube depolarization induces calcium signals in the cytosol and nucleus via inositol 1,4,5-trisphosphate (IP(3)) and phosphorylation of both ERK1/2 and cAMP-response element-binding protein (CREB). We(More)
Keywords: Petroleum well drilling Optimum-path forest Applied artificial intelligence Support vector machines Artificial Neural Networks a b s t r a c t Petroleum well drilling monitoring has become an important tool for detecting and preventing problems during the well drilling process. In this paper, we propose to assist the drilling process by analyzing(More)
We present an approach for the learning of stochastic dialog models using a technique of automatic generation of dialogs. We have applied it to achieve a better performance in our dialog system, which answers telephone queries about train timetables in Spanish. Besides interacting with real users, the stochastic dialog manager can now interact with other(More)
In this paper, the structural, sensor, and actuator mathematical models of a transelevator are presented; after, the mathematical model with sensor and actuator of the transelevator is obtained by using the combination of the above mentioned mathematical models. The proposed mathematical model is validated comparing the simulation results against the(More)