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CORR
2008
Springer
84views Education» more  CORR 2008»
13 years 9 months ago
Nested Ordered Sets and their Use for Data Modelling
In this paper we present a new approach to data modelling, called the concept-oriented model (CoM), and describe its main features and characteristics including data semantics and ...
Alexandr A. Savinov
JMLR
2012
11 years 11 months ago
Structured Output Learning with High Order Loss Functions
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
Daniel Tarlow, Richard S. Zemel
LREC
2010
166views Education» more  LREC 2010»
13 years 10 months ago
Learning Based Java for Rapid Development of NLP Systems
Today's natural language processing systems are growing more complex with the need to incorporate a wider range of language resources and more sophisticated statistical metho...
Nick Rizzolo, Dan Roth
JMLR
2012
11 years 11 months ago
Deterministic Annealing for Semi-Supervised Structured Output Learning
In this paper we propose a new approach for semi-supervised structured output learning. Our approach uses relaxed labeling on unlabeled data to deal with the combinatorial nature ...
Paramveer S. Dhillon, S. Sathiya Keerthi, Kedar Be...
SAGA
2001
Springer
14 years 1 months ago
Stochastic Finite Learning
Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to potential ap...
Thomas Zeugmann