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ISIPTA
2003
IEEE
119views Mathematics» more  ISIPTA 2003»
16 years 13 days ago
Analysis of Local or Asymmetric Dependencies in Contingency Tables using the Imprecise Dirichlet Model
We consider the statistical problem of analyzing the association between two categorical variables from cross-classified data. The focus is put on measures which enable one to st...
Jean-Marc Bernard
ACL
2001
15 years 8 months ago
Joint and Conditional Estimation of Tagging and Parsing Models
This paper compares two different ways of estimating statistical language models. Many statistical NLP tagging and parsing models are estimated by maximizing the (joint) likelihoo...
Mark Johnson
ISCI
2007
90views more  ISCI 2007»
15 years 7 months ago
Database design and querying within the fuzzy semantic model
Fuzzy semantic model (FSM) is a data model that uses basic concepts of semantic modeling and supports handling fuzziness, uncertainty and imprecision of real-world at the attribut...
Rafik Bouaziz, Salem Chakhar, Vincent Mousseau, Su...
SAC
2009
ACM
16 years 2 months ago
Evaluating algorithms that learn from data streams
In the past years, the theory and practice of machine learning and data mining have been focused on static and finite data sets from where learning algorithms generate a static m...
João Gama, Pedro Pereira Rodrigues, Raquel ...
ISAAC
2007
Springer
108views Algorithms» more  ISAAC 2007»
16 years 1 months ago
Checking Value-Sensitive Data Structures in Sublinear Space
Checking value-sensitive data structures in sublinear space has been an open problem for over a decade. In this paper, we suggest a novel approach to solving it. We show that, in c...
Michael T. Goodrich, Jonathan Z. Sun