Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
Fractional cascading is a technique designed to allow e cient sequential search in a graph with catalogs of total size n. The search consists of locating a key in the catalogs alo...
Programming specialized network processors (NPU) is inherently difficult. Unlike mainstream processors where architectural features such as out-of-order execution and caches hide ...
One of the main issues in modern aspect-oriented programming languages and frameworks is the expressiveness of the pointcut language or mechanism. The expressiveness of pointcut l...
Integrating contributions received from other agents is an essential activity in multi-agent systems (MASs). Not only must related contributions be integrated together, but the co...