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ICML
2008
IEEE
16 years 3 months ago
On the quantitative analysis of deep belief networks
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
Ruslan Salakhutdinov, Iain Murray
GPCE
2003
Springer
15 years 7 months ago
A Case for Test-Code Generation in Model-Driven Systems
A primary goal of generative programming and model-driven ent is to raise the level of abstraction at which designers and developers interact with the software systems they are bui...
Matthew J. Rutherford, Alexander L. Wolf
142
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BMCBI
2005
163views more  BMCBI 2005»
15 years 2 months ago
CoaSim: A flexible environment for simulating genetic data under coalescent models
Background: Coalescent simulations are playing a large role in interpreting large scale intraspecific sequence or polymorphism surveys and for planning and evaluating association ...
Thomas Mailund, Mikkel H. Schierup, Christian N. S...
VISUALIZATION
2005
IEEE
15 years 8 months ago
The Value of Visualization
The field of Visualization is getting mature. Many problems have been solved, and new directions are sought for. In order to make good choices, an understanding of the purpose an...
Jarke J. van Wijk
ACHI
2009
IEEE
15 years 9 months ago
Machine-Generated Multimedia Content
In this paper we describe an automated system, and its attendant set of techniques and tools, that is able to generate novel multimedia experiences. Using existing online sources,...
Nathan D. Nichols, Kristian J. Hammond