A multi-object operation incurs communication or synchronization overhead when the requested objects are distributed over different nodes. The object pair correlations (the probab...
Learning an unknown halfspace (also called a perceptron) from labeled examples is one of the classic problems in machine learning. In the noise-free case, when a halfspace consist...
For decades now, the notion of “performance” has been synonymous with “speed” (as measured in FLOPS, short for floating-point operations per second). Unfortunately, this ...
Studying the relationship between natural language and affective information as well as assessing the underpinned affective qualities of natural language are becoming crucial for ...
Shaikh Mostafa Al Masum, Helmut Prendinger, Mitsur...
Performance analysis tools are critical for the effective use of large parallel computing resources, but existing tools have failed to address three problems that limit their scal...