Over the past few years, the amount of electronic information available from the Internet has increased dramatically. Unfortunately, the search tools currently available for retrieving and filtering such information remain inadequate in balancing relevance and comprehensiveness. This work proposes a…

Passively accepting measurements of the world is not enough, as the data obtained is always incomplete, and the inferences made from it uncertain to a degree which is often unacceptable. Machines that operate autonomously will always be faced with this…

The Internet's growing acceptance as a key medium to educate people is the main focus of this thesis. Although distance education has been a popular learning method since the end of the 19th Century, never before has technology made it…

This thesis describes an algorithm for detecting moving objects in images taken from a moving robot. The algorithm distinguishes itself from other similar, existing solutions in that it lends itself to a fast implementation, yet provides results which are reliable…

Computational neuroanatomy is an exciting new area where digital tools are used with great advantage in the analysis of structure and function of the brain. One major area of research in this field involves automatically creating computerized representations of the…

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…

The incorporation of temporally extended actions, or options , into the reinforcement learning framework has proven to be useful in planning and knowledge representation. Options provide a form of temporal abstraction, as they represent courses of action of variable duration.…

"Model Driven Software Development" is a recent trend in development of software-intensive systems. In the Model Driven Software Development process, all knowledge pertaining to the software system to be built is represented in the form of models, in the right…