What type of algorithms and statistical techniques support learning from very large datasets over long stretches of time? We address this question through a memory bounded version...
We initiate the study of sublinear-time algorithms in the external memory model [Vit01]. In this model, the data is stored in blocks of a certain size B, and the algorithm is char...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
Automatic bug finding with static analysis requires precise tracking of different memory object values. This paper describes a memory modeling method for static analysis of C pro...
— In this paper we have suggested a sparse three dimensional array model for the brain. Entries of the array are synaptic weights as functions of time. This is a typical four dim...
: It has always been assumed that fault models in memories are sufficiently precise for specifying the faulty behavior. This means that, given a fault model, it should be possible...