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VMV
2008
107views Visualization» more  VMV 2008»
15 years 7 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
ECIR
2003
Springer
15 years 7 months ago
From Uncertain Inference to Probability of Relevance for Advanced IR Applications
Uncertain inference is a probabilistic generalisation of the logical view on databases, ranking documents according to their probabilities that they logically imply the query. For ...
Henrik Nottelmann, Norbert Fuhr
DOA
2000
116views more  DOA 2000»
15 years 7 months ago
Jini Technology Applied to Railway Systems
In the world of pervasive computing where large management systems, as well as small devices, all become interconnected, the problem of the configuration and management of network...
Txomin Nieva, Andreas Fabri, Abdenbi Benammour
UAI
1997
15 years 7 months ago
A Bayesian Approach to Learning Bayesian Networks with Local Structure
Recently several researchers have investigated techniques for using data to learn Bayesian networks containing compact representations for the conditional probability distribution...
David Maxwell Chickering, David Heckerman, Christo...
CORR
2008
Springer
102views Education» more  CORR 2008»
15 years 6 months ago
Offloading Cognition onto Cognitive Technology
: "Cognizing" (i.e., thinking, understanding, knowing, and having the capacity to do what cognizers can do) is a mental state. Systems without mental states, such as cogn...
Itiel E. Dror, Stevan Harnad