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AGI
2008
13 years 11 months ago
Probabilistic Quantifier Logic for General Intelligence: An Indefinite Probabilities Approach
: Indefinite probabilities are a novel technique for quantifying uncertainty, which were created as part of the PLN (Probabilistic Logic Networks) logical inference engine, which i...
Matthew Iklé, Ben Goertzel
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
13 years 10 months ago
Parameter-free testing of the shape of a probability distribution
The Kolmogorov–Smirnov test determines the consistency of empirical data with a particular probability distribution. Often, parameters in the distribution are unknown, and have ...
M. Broom, P. Nouvellet, J. P. Bacon, D. Waxman
ESWA
2006
86views more  ESWA 2006»
13 years 10 months ago
Modeling consumer acceptance probabilities
This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to choose the optimal set of parameters f...
L. C. Thomas, Ki Mun Jung, Steve D. Thomas, Y. Wu
IJAR
2007
86views more  IJAR 2007»
13 years 10 months ago
Joint propagation of probability and possibility in risk analysis: Towards a formal framework
This paper discusses some aspects of fuzzy random variables obtained by propagating uncertainty in risk analysis when some input parameters are stochastic, while others are determ...
Cédric Baudrit, Inés Couso, Didier D...
STACS
2009
Springer
14 years 4 months ago
Randomness on Computable Probability Spaces - A Dynamical Point of View
We extend the notion of randomness (in the version introduced by Schnorr) to computable Probability Spaces and compare it to a dynamical notion of randomness: typicality. Roughly, ...
Péter Gács, Mathieu Hoyrup, Cristoba...