Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
Assigning tasks to agents is complex, especially in highly dynamic environments. Typical protocol-based approaches for task assignment such as Contract Net have proven their value...
Applications using traditional protocol stacks (e.g TCP/IP) from wired networks do not function efficiently in mobile wireless scenarios. This is primarily due to the layered archi...
odular Abstraction Refinement Thomas A. Henzinger1 , Ranjit Jhala1 , Rupak Majumdar1 , and Shaz Qadeer2 1 University of California, Berkeley 2 Microsoft Research, Redmond Abstract....
Thomas A. Henzinger, Ranjit Jhala, Rupak Majumdar,...