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» The Use of Classifiers in Sequential Inference
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ESOP
2004
Springer
13 years 11 months ago
ML-Like Inference for Classifiers
Environment classifiers were proposed as a new approach to typing multi-stage languages. Safety was established in the simply-typed and let-polymorphic settings. While the motivati...
Cristiano Calcagno, Eugenio Moggi, Walid Taha
TSP
2008
99views more  TSP 2008»
13 years 7 months ago
Adaptive Polarized Waveform Design for Target Tracking Based on Sequential Bayesian Inference
Abstract--In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to i...
Martin Hurtado, Tong Zhao, Arye Nehorai
LREC
2010
209views Education» more  LREC 2010»
13 years 9 months ago
Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment
In this paper we present an experimental toolbox for automatic tree-to-tree alignment based on local classification and alignment inference. The aligner implements a recurrent arc...
Jörg Tiedemann
FUZZIEEE
2007
IEEE
13 years 11 months ago
Ensembles of Fuzzy Classifiers
The use of bagging is explored to create an ensemble of fuzzy classifiers. The learning algorithm used was ANFIS (Adaptive Neuro-Fuzzy Inference Systems). We compare results from b...
Juana Canul-Reich, Larry Shoemaker, Lawrence O. Ha...
COLING
2008
13 years 9 months ago
Classifying Chart Cells for Quadratic Complexity Context-Free Inference
In this paper, we consider classifying word positions by whether or not they can either start or end multi-word constituents. This provides a mechanism for "closing" cha...
Brian Roark, Kristy Hollingshead