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JMLR
2010
95views more  JMLR 2010»
12 years 11 months ago
Feature Extraction for Machine Learning: Logic-Probabilistic Approach
The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
Vladimir Gorodetsky, Vladimir Samoilov
MLMI
2007
Springer
13 years 11 months ago
Transfer Learning for Tandem ASR Feature Extraction
Joe Frankel, Özgür Çetin, Nelson ...
ECML
1998
Springer
13 years 9 months ago
Using Lattice-Based Framework as a Tool for Feature Extraction
Engelbert Mephu Nguifo, Patrick Njiwoua
ICML
2008
IEEE
14 years 5 months ago
Extracting and composing robust features with denoising autoencoders
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...
Pascal Vincent, Hugo Larochelle, Yoshua Bengio, Pi...
DBSEC
2010
319views Database» more  DBSEC 2010»
13 years 6 months ago
Detecting Spam Bots in Online Social Networking Sites: A Machine Learning Approach
As online social networking sites become more and more popular, they have also attracted the attentions of the spammers. In this paper, Twitter, a popular micro-blogging service, i...
Alex Hai Wang