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ISIPTA
1999
IEEE
107views Mathematics» more  ISIPTA 1999»
14 years 1 months ago
Imprecise and Indeterminate Probabilities
Bayesian advocates of expected utility maximization use sets of probability distributions to represent very different ideas. Strict Bayesians insist that probability judgment is n...
Isaac Levi
UAI
2008
13 years 11 months ago
The Phylogenetic Indian Buffet Process: A Non-Exchangeable Nonparametric Prior for Latent Features
Nonparametric Bayesian models are often based on the assumption that the objects being modeled are exchangeable. While appropriate in some applications (e.g., bag-ofwords models f...
Kurt T. Miller, Thomas L. Griffiths, Michael I. Jo...
COGSCI
2008
129views more  COGSCI 2008»
13 years 9 months ago
A Rational Analysis of Rule-Based Concept Learning
We propose a new model of human concept learning that provides a rational analysis for learning of feature-based concepts. This model is built upon Bayesian inference for a gramma...
Noah D. Goodman, Joshua B. Tenenbaum, Jacob Feldma...
ACNS
2005
Springer
124views Cryptology» more  ACNS 2005»
14 years 3 months ago
Building Reliable Mix Networks with Fair Exchange
In this paper we present techniques by which each mix in a mix network can be paid for its services by message senders, in a way that ensures fairness and without sacrificing anon...
Michael K. Reiter, XiaoFeng Wang, Matthew Wright
IJCAI
2001
13 years 11 months ago
IBAL: A Probabilistic Rational Programming Language
In a rational programming language, a program specifies a situation faced by an agent; evaluating the program amounts to computing what a rational agent would believe or do in the...
Avi Pfeffer