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» The Inference Problem: A Survey
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ICML
2009
IEEE
16 years 7 months ago
Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
SIGMOD
2007
ACM
125views Database» more  SIGMOD 2007»
16 years 6 months ago
Identifying meaningful return information for XML keyword search
Keyword search enables web users to easily access XML data without the need to learn a structured query language and to study possibly complex data schemas. Existing work has addr...
Ziyang Liu, Yi Chen
ICDT
2007
ACM
141views Database» more  ICDT 2007»
16 years 9 days ago
Exact XML Type Checking in Polynomial Time
Stay macro tree transducers (smtts) are an expressive formalism for reasoning about XSLT-like document transformations. Here, we consider the exact type checking problem for smtts....
Sebastian Maneth, Thomas Perst, Helmut Seidl
CIBCB
2005
IEEE
15 years 11 months ago
Predicting Single Genes Related to Immune-Relevant Processes
— In this paper we address the problem of predicting gene activities by finding gene regulatory dependencies in experimental DNA microarray data. Only few approaches to infer th...
Christian Spieth, Felix Streichert, Nora Speer, Ch...
ICRA
2005
IEEE
150views Robotics» more  ICRA 2005»
15 years 11 months ago
Learning Sensor Network Topology through Monte Carlo Expectation Maximization
— We consider the problem of inferring sensor positions and a topological (i.e. qualitative) map of an environment given a set of cameras with non-overlapping fields of view. In...
Dimitri Marinakis, Gregory Dudek, David J. Fleet