: Classification methods are vital for efficient access of knowledge hidden in biomedical publications. Support vector machines (SVMs) are modern non-parametric deterministic clas...
Abstract In recent years, some approximate highdimensional indexing techniques have shown promising results by trading off quality guarantees for improved query performance. While ...
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
We describe a content based speech discrimination algorithm in broadcast news based on the time-varying information provided by the modulation spectrum. Due to the varying degrees...
The theory of regions has been recognized as the optimal deadlock prevention policy based on the marking/transition-separation instance (MTSI) or the event-state-separation-proble...