Despite all the encouraging reports on the benefit of Partially Overlapped Channels (POCs), the relative simple interference models and rather arbitrary network settings considered...
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
The support vector machine has been successful in a variety of applications. Also on the theoretical front, statistical properties of the support vector machine have been studied ...
Ja-Yong Koo, Yoonkyung Lee, Yuwon Kim, Changyi Par...
We define Concurrent Turing Machines (CTMs) as Turing machines with Petri nets as finite control. This leads to machines with arbitrary many tape heads, thus subsuming any class ...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...