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» Robust Learning - Rich and Poor
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107
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COLING
2000
15 years 3 months ago
Robust German Noun Chunking With a Probabilistic Context-Free Grammar
We present a noun chunker for German which is based on a head-lexicalised probabilistic contextfl'ee grammar. A manually developed grammar was semi-automatically extended wit...
Helmut Schmid, Sabine Schulte im Walde
128
Voted
ICASSP
2011
IEEE
14 years 5 months ago
Dynamic selection of a speech enhancement method for robust speech recognition in moving motorcycle environment
We present a speech pre-processing scheme (SPPS) for robust speech recognition in the moving motorcycle environment. The SPPS is dynamically adapted during the run-time operation ...
Iosif Mporas, Todor Ganchev, Otilia Kocsis, Nikos ...
113
Voted
AUSAI
2005
Springer
15 years 7 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington
87
Voted
CVPR
2006
IEEE
16 years 3 months ago
Meta-Evaluation of Image Segmentation Using Machine Learning
Image segmentation is a fundamental step in many computer vision applications. Generally, the choice of a segmentation algorithm, or parameterization of a given algorithm, is sele...
Hui Zhang, Sharath R. Cholleti, Sally A. Goldman, ...
113
Voted
SEKE
2009
Springer
15 years 8 months ago
Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning
Code review is often suggested as a means of improving code quality. Since humans are poor at repetitive tasks, some form of tool support is valuable. To that end we developed a p...
Stefan Axelsson, Dejan Baca, Robert Feldt, Darius ...