Negative selection algorithms are immune-inspired classifiers that are trained on negative examples only. Classification is performed by generating detectors that match none of ...
Modern distributed information systems cope with disconnection and limited bandwidth by using caches. In communicationconstrained situations, traditional demand-driven approaches ...
Mitch Cherniack, Eduardo F. Galvez, Michael J. Fra...
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
Greedy geographic routing is attractive in wireless sensor networks due to its efficiency and scalability. However, greedy geographic routing may incur long routing paths or even ...
Guoliang Xing, Chenyang Lu, Robert Pless, Qingfeng...