Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Abstract— In this paper, we answer the question that “Can conventional differential unitary space time modulation (DUSTM) be applied when there is an unknown carrier frequency ...
Tao Cui, Feifei Gao, Arumugam Nallanathan, Chintha...
Classifiers are often used to detect miscreant activities. We study how an adversary can efficiently query a classifier to elicit information that allows the adversary to evade de...
Blaine Nelson, Benjamin I. P. Rubinstein, Ling Hua...
Many decision and optimization problems in Electronic Design Automation (EDA) can be solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find app...
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...