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JMLR
2010
106views more  JMLR 2010»
14 years 12 months ago
Why Does Unsupervised Pre-training Help Deep Learning?
Much recent research has been devoted to learning algorithms for deep architectures such as Deep Belief Networks and stacks of auto-encoder variants, with impressive results obtai...
Dumitru Erhan, Yoshua Bengio, Aaron C. Courville, ...
IJAR
2011
86views more  IJAR 2011»
14 years 8 months ago
On open questions in the geometric approach to structural learning Bayesian nets
The basic idea of an algebraic approach to learning Bayesian network (BN) structures is to represent every BN structure by a certain uniquely determined vector, called the standar...
Milan Studený, Jirí Vomlel
SIGMOD
2011
ACM
152views Database» more  SIGMOD 2011»
14 years 8 months ago
Tracing data errors with view-conditioned causality
A surprising query result is often an indication of errors in the query or the underlying data. Recent work suggests using causal reasoning to find explanations for the surprisin...
Alexandra Meliou, Wolfgang Gatterbauer, Suman Nath...
ENASE
2011
219views Hardware» more  ENASE 2011»
14 years 4 months ago
Mutation Selection: Some Could be Better than All
In previous research, many mutation selection techniques have been proposed to reduce the cost of mutation analysis. After a mutant subset is selected, researchers could obtain a t...
Zhiyi Zhang, Dongjiang You, Zhenyu Chen, Yuming Zh...
TCC
2012
Springer
218views Cryptology» more  TCC 2012»
14 years 19 days ago
Iterative Constructions and Private Data Release
In this paper we study the problem of approximately releasing the cut function of a graph while preserving differential privacy, and give new algorithms (and new analyses of exis...
Anupam Gupta, Aaron Roth, Jonathan Ullman