16 search results - page 1 / 4 » Memory bounded inference in topic models |
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
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...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
IWMM
2010
Springer
13 years 6 months ago
2010
Springer
The accurate prediction of program's memory requirements is a critical component in software development. Existing heap space analyses either do not take deallocation into ac...
PODS
2006
ACM
14 years 5 months ago
2006
ACM
We study the randomized version of a computation model (introduced in [9, 10]) that restricts random access to external memory and internal memory space. Essentially, this model c...