AI planning benefits greatly from the use of temporally-extended or macro-actions. Macro-actions allow for faster and more efficient planning as well as the reuse of knowledge from previous solutions. In recent years, a significant amount of research has been devoted…

Most routers, to our knowledge, are difficult for researchers and students without root privileges to implement or modify, because their implementation is in kernel space. GINI is an innovative platform on conventional PCs, which brings the whole functionality of a…

In this thesis, we introduce SableJIT, a retargetable just-in-time compiler for the SableVM Java virtual machine. Our design attempts to minimize the amount of work required to port (or to retarget) our compiler to a new platform. We accomplish this…

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…

Assessing software quality is fundamental in the software developing field. Most software quality characteristics cannot be measured before a certain period of use of the software product. However, they can be predicted or estimated based on other measurable quality attributes.…

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…