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LREC
2008
131views Education» more  LREC 2008»
15 years 3 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
107
Voted
NIPS
2004
15 years 3 months ago
Neighbourhood Components Analysis
In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic v...
Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinto...
CLEF
2010
Springer
15 years 3 months ago
UNT at ImageCLEF 2010: CLIR for Wikipedia Images
This paper presents the results of the team of the University of North Texas in the Wikipedia image retrieval track of Image-CLEF-2010. Our approach is based on performing translat...
Miguel E. Ruiz, Jiangping Chen, Karthikeyan Pasupa...
CORR
2011
Springer
202views Education» more  CORR 2011»
14 years 9 months ago
Network Estimation and Packet Delivery Prediction for Control over Wireless Mesh Networks
: Much of the current theory of networked control systems uses simple point-to-point communiodels as an abstraction of the underlying network. As a result, the controller has very ...
Phoebus Chen, Chithrupa Ramesh, Karl Henrik Johans...
JMLR
2012
13 years 4 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...
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