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» A Meta Learning Approach to Grammatical Error Correction
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TIP
2008
185views more  TIP 2008»
13 years 7 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
ICANN
2005
Springer
14 years 1 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
GCB
2006
Springer
140views Biometrics» more  GCB 2006»
13 years 11 months ago
PALMA: Perfect Alignments using Large Margin Algorithms
: Despite many years of research on how to properly align sequences in the presence of sequencing errors, alternative splicing and micro-exons, the correct alignment of mRNA sequen...
Gunnar Rätsch, Bettina Hepp, Uta Schulze, Che...
POPL
2002
ACM
14 years 7 months ago
Mining specifications
Program verification is a promising approach to improving program quality, because it can search all possible program executions for specific errors. However, the need to formally...
Glenn Ammons, James R. Larus, Rastislav Bodí...
IJCV
2010
158views more  IJCV 2010»
13 years 6 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre