Database engines face growing scalability challenges as core counts exponentially increase each processor generation, and the efficiency of synchronization primitives used to prot...
Ryan Johnson, Manos Athanassoulis, Radu Stoica, An...
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
Due to the distributed nature of Service-Oriented Architectures (SOA), maintaining control in a SOA environment becomes more difficult as services spread over different lines-of-b...
T. G. J. Schepers, Maria-Eugenia Iacob, Pascal van...
This paper presents a probabilistic relational modelling (implementation) of the major probabilistic retrieval models. Such a high-level implementation is useful since it supports ...
Abstract— On the one hand, natural phenomena of spontaneous pattern formation are generally random and repetitive, whereas, on the other hand, complicated heterogeneous architect...