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NIPS
2004
15 years 7 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
AI
2008
Springer
15 years 6 months ago
The well-designed child
This article is inspired by recent psychological studies confirming that a child is not born a blank slate but has important innate capabilities. An important part of the "le...
John McCarthy
JASIS
2000
143views more  JASIS 2000»
15 years 6 months ago
Discovering knowledge from noisy databases using genetic programming
s In data mining, we emphasize the need for learning from huge, incomplete and imperfect data sets (Fayyad et al. 1996, Frawley et al. 1991, Piatetsky-Shapiro and Frawley, 1991). T...
Man Leung Wong, Kwong-Sak Leung, Jack C. Y. Cheng
ECCV
2004
Springer
16 years 8 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
WWW
2005
ACM
16 years 7 months ago
Browsing fatigue in handhelds: semantic bookmarking spells relief
Focused Web browsing activities such as periodically looking up headline news, weather reports, etc., which require only selective fragments of particular Web pages, can be made m...
Saikat Mukherjee, I. V. Ramakrishnan