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VALUETOOLS
2006
ACM
149views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
Tail asymptotics for discrete event systems
In the context of communication networks, the framework of stochastic event graphs allows a modeling of control mechanisms induced by the communication protocol and an analysis of ...
Marc Lelarge
ACCV
2010
Springer
15 years 5 days ago
Identifying Surprising Events in Videos Using Bayesian Topic Models
Automatic processing of video data is essential in order to allow efficient access to large amounts of video content, a crucial point in such applications as video mining and surve...
Avishai Hendel, Daphna Weinshall, Shmuel Peleg
AAAI
2008
15 years 3 days ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
DAGSTUHL
2006
14 years 11 months ago
On impossibility of sequential algorithmic forecasting
The problem of prediction future event given an individual sequence of past events is considered. Predictions are given in form of real numbers pn which are computed by some algori...
Vladimir V. V'yugin
CORR
2011
Springer
151views Education» more  CORR 2011»
14 years 4 months ago
Temporal Probabilistic Logic Programs: State and Revision
There are numerous applications where we have to deal with temporal uncertainty associated with events. The Temporal Probabilistic (TP) Logic Programs should provide support for v...
Zoran Majkic