Most neural network learning algorithms cannot use knowledge other than what is provided in the training data. Initialized using random weights, they cannot use prior knowledge such as knowledge stored in previously trained networks. This manuscript thesis addresses this problem.…

We present a novel approach to simulate the motion of vortex filaments in three dimensional, incompressible flows. We represent vortex filaments as thin tubes on a 3D-grid and use a Lagrangian vortex filament method to describe their motion within a…

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…