528 search results - page 100 / 106 » Structure learning with independent non-identically distribu... |
KDD
2008
ACM
14 years 8 months ago
2008
ACM
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
SPAA
2009
ACM
14 years 5 months ago
2009
ACM
A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous p...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
Cascading techniques are commonly used to speed-up the scan of an image for object detection. However, cascades of detectors are slow to train due to the high number of detectors a...
NIPS
2008
13 years 9 months ago
2008
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
NIPS
2007
13 years 9 months ago
2007
Large repositories of source code create new challenges and opportunities for statistical machine learning. Here we first develop Sourcerer, an infrastructure for the automated c...