As we devise more complicated prior distributions, will inference algorithms keep up? We highlight a negative result in computable probability theory by Ackerman, Freer, and Roy (...
In recent years manifold methods have attracted a considerable amount of attention in machine learning. However most algorithms in that class may be termed “manifold-motivatedâ€...
For the realistic simulation of embodied agents we need a model of emotion that represents both structural and dynamic aspects of emotional phenomena to serve as background suppor...
Little notice has been taken of punctuation in the field of natural language processing, chiefly due to the lack of any coherent theory on which to base implementations. Some work...
Autonomic computing (AC) is an intelligent computing approach that autonomously carries out robotic and interactive applications based on goal- and inference-driven mechanisms. Th...