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DAC
1994
ACM
15 years 1 months ago
Exact and Approximate Methods for Calculating Signal and Transition Probabilities in FSMs
In this paper, we consider the problem of calculating the signal and transition probabilities of the internal nodes of the combinational logic part of a nite state machine (FSM). ...
Chi-Ying Tsui, Massoud Pedram, Alvin M. Despain
POPL
2012
ACM
13 years 5 months ago
A type theory for probability density functions
There has been great interest in creating probabilistic programming languages to simplify the coding of statistical tasks; however, there still does not exist a formal language th...
Sooraj Bhat, Ashish Agarwal, Richard W. Vuduc, Ale...
ILP
2007
Springer
15 years 3 months ago
Building Relational World Models for Reinforcement Learning
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
Trevor Walker, Lisa Torrey, Jude W. Shavlik, Richa...
ECIR
2003
Springer
14 years 11 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
UAI
1989
14 years 10 months ago
Can Uncertainty Management be Realized in a Finite Totally Ordered Probability Algebra?
In this paper, the feasibility of using finite totally ordered probability models under Aleliunas’s Theory of Probabilistic Logic [Aleliunas, 1988] is investigated. The general...
Yang Xiang, Michael P. Beddoes, David Poole