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» The Use of Classifiers in Sequential Inference
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ESOP
2004
Springer
15 years 1 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
59
Voted
TSP
2008
99views more  TSP 2008»
14 years 9 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»
14 years 11 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
15 years 1 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
14 years 11 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