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» A knowledge hierarchy model for adaptive multi-agent systems
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ACL
2008
13 years 9 months ago
Unsupervised Learning of Acoustic Sub-word Units
Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
Balakrishnan Varadarajan, Sanjeev Khudanpur, Emman...
BMCBI
2004
144views more  BMCBI 2004»
13 years 7 months ago
PASBio: predicate-argument structures for event extraction in molecular biology
Background: The exploitation of information extraction (IE), a technology aiming to provide instances of structured representations from free-form text, has been rapidly growing w...
Tuangthong Wattarujeekrit, Parantu K. Shah, Nigel ...
GPCE
2009
Springer
13 years 11 months ago
Mapping problem-space to solution-space features: a feature interaction approach
Mapping problem-space features into solution-space features is a fundamental configuration problem in software product line engineering. A configuration problem is defined as g...
Frans Sanen, Eddy Truyen, Wouter Joosen
AIED
2007
Springer
14 years 1 months ago
How did the e-learning session go? The Student Inspector
Good teachers know their students, and exploit this knowledge to adapt or optimise their instruction. Traditional teachers know their students because they interact with them face-...
Oliver Scheuer, Claus Zinn
GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 1 months ago
Finding interesting things
Model- and simulation-designers are often interested not in the optimum output of their system, but in understanding how the output is sensitive to different parameters. This can...
Sean Luke, Deepankar Sharma, Gabriel Catalin Balan