One way to reduce the complexity of the speech recognition is to use syntactic, semantic and pragmatic information to predict the next input of the user. In spoken dialogue systems pragmatic information can include knowledge about the dialogue domain, dialogue…

Individuals can expect continuous improvement in productivity as a consequence of (i) a growing stock of knowledge and experience gained by repeatedly doing the same task (first-order learning) or (ii) due to technological and training programs injected by the organization…

The Internet has been conceived as a communication tool to cross geographical boundaries and allow knowledge to be shared among people from all over the world. As a consequence of the expansion of computer networks, the abundance of available information…

With the increasing demands of transforming raw data into information and knowledge, data mining becomes an important field to the discovery of useful information and hidden patterns in huge datasets. Both machine learning and database research have made major contributions…

An 1 out of 2 Oblivious Transfer (( 21 )-OT) is a two-party computation in which a sender A owning two secret bits b0, b 1 can transfer one to them, bc, to receiver Bob who chooses c. This is…

With the wide availability of huge amounts of data and the imminent demands to transform the raw data into useful information and knowledge, data mining has become an important research field both in the database area and the machine learning…

Reinforcement Learning is a class of methods for solving sequential decision problems when the model of the environment is not known. In this framework, the agent must explore the environment to gather more information about the model and the utility…