We propose a class of actor-oriented statistical models for closed social networks in general, and friendship networks in particular. The models are random utility models develope...
Gerhard G. Van De Bunt, Marijtje A. J. Van Duijn, ...
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
Recently, the microprocessor industry has moved toward chip multiprocessor (CMP) designs as a means of utilizing the increasing transistor counts in the face of physical and micro...
: We study the weight distribution and list-decoding size of Reed-Muller codes. Given a weight parameter, we are interested in bounding the number of Reed-Muller codewords with a w...
Software-based self-test (SBST) is an emerging approach to address the challenges of high-quality, at-speed test for complex programmable processors and systems-on chips (SoCs) th...
Li Chen, Srivaths Ravi, Anand Raghunathan, Sujit D...