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» A statistical approach to rule learning
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89
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ACL
2009
14 years 10 months ago
Realistic Grammar Error Simulation using Markov Logic
The development of Dialog-Based ComputerAssisted Language Learning (DB-CALL) systems requires research on the simulation of language learners. This paper presents a new method for...
Sungjin Lee, Gary Geunbae Lee
141
Voted
TNN
2010
216views Management» more  TNN 2010»
14 years 7 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
CVPR
2011
IEEE
14 years 4 months ago
Total Recall II: Query Expansion Revisited
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods tha...
Ondrej Chum, Andrej Mikulik, Michal Perdoch, Jiri ...
92
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Improving melody extraction using Probabilistic Latent Component Analysis
We propose a new approach for automatic melody extraction from polyphonic audio, based on Probabilistic Latent Component Analysis (PLCA). An audio signal is first divided into vo...
Jinyu Han, Ching-Wei Chen
114
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Toward text message normalization: Modeling abbreviation generation
This paper describes a text normalization system for deletion-based abbreviations in informal text. We propose using statistical classifiers to learn the probability of deleting ...
Deana Pennell, Yang Liu