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ICML
2008
IEEE
16 years 4 months ago
Memory bounded inference in topic models
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...
Ryan Gomes, Max Welling, Pietro Perona
160
Voted
PROPERTYTESTING
2010
15 years 1 months ago
Sublinear Algorithms in the External Memory Model
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...
ISOLA
2010
Springer
15 years 2 months ago
A Memory Model for Static Analysis of C Programs
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...
Zhongxing Xu, Ted Kremenek, Jian Zhang
100
Voted
IJCNN
2006
IEEE
15 years 9 months ago
Studies on Sparse Array Cortical Modeling and Memory Cognition Duality
— 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...
Kausik Kumar Majumdar, Robert Kozma
122
Voted
DATE
2002
IEEE
96views Hardware» more  DATE 2002»
15 years 8 months ago
Modeling Techniques and Tests for Partial Faults in Memory Devices
: 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...
Zaid Al-Ars, A. J. van de Goor