Thread escape analysis conservatively determines which objects may be accessed in more than one thread. Thread escape analysis is useful for a variety of purposes – finding rac...
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
Raveesh Kiran, Sandhya R. Jetti, Ganesh K. Venayag...
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...
Recent work on distributed RAM sharing has largely focused on leveraging low-latency networking technologies to optimize remote memory access. In contrast, we revisit the idea of ...
Vassil Roussev, Golden G. Richard III, Daniel Ting...