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» Learning From Ambiguous Examples
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EACL
2006
ACL Anthology
15 years 6 months ago
Weakly Supervised Approaches for Ontology Population
We present a weakly supervised approach to automatic Ontology Population from text and compare it with other two unsupervised approaches. In our experiments we populate a part of ...
Hristo Tanev, Bernardo Magnini
153
Voted
ICML
2010
IEEE
15 years 6 months ago
Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
Philip M. Long, Rocco A. Servedio
ICASSP
2010
IEEE
15 years 5 months ago
Semi-Supervised Fisher Linear Discriminant (SFLD)
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...
Seda Remus, Carlo Tomasi
CORR
2008
Springer
123views Education» more  CORR 2008»
15 years 5 months ago
Optimizing Web Sites for Customer Retention
With customer relationship management (CRM) companies move away from a mainly product-centered view to a customer-centered view. Resulting from this change, the effective manageme...
Michael Hahsler
126
Voted
INFFUS
2007
88views more  INFFUS 2007»
15 years 4 months ago
A progressive query language and interactive reasoner for information fusion support
Previous approaches in query processing do not consider queries to automatically combine results obtained from different information sources, i.e. they do not support information...
Shi-Kuo Chang, Erland Jungert, Xin Li