We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
We present a statically typed, class-based object oriented language where classes are first class polymorphic values. A main contribution of this work is the design of a type syst...
This paper proposes a novel, unified, and systematic approach to combine collaborative and content-based filtering for ranking and user preference prediction. The framework inco...
We demonstrate that the performance of commodity parallel systems significantly depends on low-level details, such as storage layout and iteration space mapping, which motivates t...
Lee W. Howes, Anton Lokhmotov, Alastair F. Donalds...
The well-known and very simple MinOver algorithm is reformulated for incremental support vector classification with and without kernels. A modified proof for its O(t-1/2 ) converge...