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PREMI
2007
Springer
15 years 4 months ago
Rough Set Theory of Pattern Classification in the Brain
Humans effortlessly classify and recognize complex patterns even if their attributes are imprecise and often inconsistent. It is not clear how the brain processes uncertain visual ...
Andrzej W. Przybyszewski
FOCS
1999
IEEE
15 years 2 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
NIPS
2008
14 years 11 months ago
One sketch for all: Theory and Application of Conditional Random Sampling
Conditional Random Sampling (CRS) was originally proposed for efficiently computing pairwise (l2, l1) distances, in static, large-scale, and sparse data. This study modifies the o...
Ping Li, Kenneth Ward Church, Trevor Hastie
ICIS
2000
14 years 11 months ago
A framework of knowledge management systems: issues and challenges for theory and practice
As the basis of value creation increasingly depends on the leverage of the intangible assets of firms, Knowledge Management Systems (KMS) are emerging as powerful sources of compe...
Jungpil Hahn, Mani R. Subramani
DIAGRAMS
2010
Springer
14 years 11 months ago
An Attention Based Theory to Explore Affordances of Textual and Diagrammatic Proofs
Shimojima and Katagiri have demonstrated that diagrams reduce "inferential load" during reasoning by scaffolding visual-spatial aspects of memory. In response, we wondere...
Peter Coppin, Jim Burton, Stephen Hockema