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» A Maximum Entropy Approach for Spoken Chinese Understanding
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SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 3 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
MFCS
2010
Springer
13 years 4 months ago
Information Complexity of Online Problems
Abstract. What is information? Frequently spoken about in many contexts, yet nobody has ever been able to define it with mathematical rigor. The best we are left with so far is th...
Juraj Hromkovic, Rastislav Královic, Richar...
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
13 years 11 months ago
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
Carlos E. Thomaz, Duncan Fyfe Gillies
COLING
2010
13 years 1 months ago
Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data
We employ Maximum Entropy model to conduct sub-tree alignment between bilingual phrasal structure trees. Various lexical and structural knowledge is explored to measure the syntac...
Jun Sun, Min Zhang, Chew Lim Tan
CSIE
2009
IEEE
14 years 29 days ago
Automatic Preposition Errors Correction Using Inductive Learning
In this paper, we describe a system for correcting English preposition errors automatically. Non-native English writers often make these errors. Our system uses rules extracted au...
Hokuto Ototake, Kenji Araki