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» Generating maximal models using the stable model semantics
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ICASSP
2010
IEEE
15 years 4 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang
FLAIRS
2008
15 years 6 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
NIPS
2001
15 years 5 months ago
Natural Language Grammar Induction Using a Constituent-Context Model
This paper presents a novel approach to the unsupervised learning of syntactic analyses of natural language text. Most previous work has focused on maximizing likelihood according...
Dan Klein, Christopher D. Manning
JSS
2008
122views more  JSS 2008»
15 years 3 months ago
Traffic-aware stress testing of distributed real-time systems based on UML models using genetic algorithms
This report presents a model-driven, stress test methodology aimed at increasing chances of discovering faults related to network traffic in Distributed Real-Time Systems (DRTS). T...
Vahid Garousi, Lionel C. Briand, Yvan Labiche
ICRA
2008
IEEE
136views Robotics» more  ICRA 2008»
15 years 11 months ago
Modeling multi-robot interaction using generalized occupancy grids, with application to reducing spatial interference
— As part of a program to find methods of reducing spatial interference in multi-robot systems, we propose the Interaction Grid (IG), a generalization of the Occupancy Grid that...
Mauricio Zuluaga, Richard T. Vaughan