Work in Progress and Current Research
Many Physical
systems show an abrupt change in their properties when some external
parameters are modified, it is called phase transition. Recently, this
phenomena has been one of the most exciting areas in computer science and
artificial intelligence. My research interest is to understand the
impact of this phenomena in machine learning area.
- A Model to Study Phase Transition and Plateaus in Relational Learning (ILP2008)
- A Problem Generator to Study Heuristic Search in Relational Learning (CAP2008)
- On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate in ILP, Erick Alphonse and Aomar OSMANI, Journal of machine learning, 2008 (ml2007.pdf)
- Phase Transition and Heuristic Search in Relational Learning, Erick
Alphonse and Aomar OSMANI, International Conference on Machine Learning
and Applications, ICMLA'2007 (icmla2007.pdf)
- Using near-misses to cross plateaus: a study about phase transitions in relational learning Erick Alphonse and Aomar OSMANI ILP 2006 (ilp06.pdf)
Research Interests
Relational Learning and phase Transition
Temporal Reasoning, Reasoning About Sequences
Constraint Satisfaction Problems (CSP)
Diagnostic of dynamic systems
Telecommunication Networks