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» Cross-Situational Learning: A Mathematical Approach
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65
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KI
2009
Springer
15 years 4 months ago
Presenting Proofs with Adapted Granularity
When mathematicians present proofs they usually adapt their explanations to their didactic goals and to the (assumed) knowledge of their addressees. Modern automated theorem prover...
Marvin Schiller, Christoph Benzmüller
SEMCO
2007
IEEE
15 years 3 months ago
Modeling Discriminative Global Inference
Many recent advances in complex domains such as Natural Language Processing (NLP) have taken a discriminative approach in conjunction with the global application of structural and...
Nicholas Rizzolo, Dan Roth
CVPR
2007
IEEE
15 years 3 months ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
86
Voted
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
15 years 3 months ago
Bayesian estimation of rule accuracy in UCS
Learning Classifier Systems differ from many other classification techniques, in that new rules are constantly discovered and evaluated. This feature of LCS gives rise to an im...
James A. R. Marshall, Gavin Brown, Tim Kovacs
CEC
2010
IEEE
14 years 10 months ago
Principles of protein processing for a self-organising associative memory
The evolution of Artificial Intelligence has passed through many phases over the years, going from rigorous mathematical grounding to more intuitive bio-inspired approaches. Despit...
Omer Qadir, Jerry Liu, Jon Timmis, Gianluca Tempes...