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139
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CORR
2010
Springer
116views Education» more  CORR 2010»
14 years 10 months ago
Mixed-Membership Stochastic Block-Models for Transactional Networks
Abstract: Transactional network data can be thought of as a list of oneto-many communications (e.g., email) between nodes in a social network. Most social network models convert th...
Mahdi Shafiei, Hugh Chipman
115
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IJSNET
2007
97views more  IJSNET 2007»
15 years 3 months ago
Stochastic binary sensor networks for noisy environments
— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
T. Nguyen, Dong Nguyen, Huaping Liu, Duc A. Tran
92
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WSC
2004
15 years 5 months ago
Statistical Analyses for Simulating Schedule Networks
This paper introduces the Stochastic Project Scheduling Simulation (SPSS) system and two additional useful statistical analysis tools. SPSS integrates CPM, PERT, and Discrete Even...
Dong-Eun Lee, Jonathan Jingsheng Shi
120
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Stochastic pronunciation modelling and soft match for out-of-vocabulary spoken term detection
A major challenge faced by a spoken term detection (STD) system is the detection of out-of-vocabulary (OOV) terms. Although a subword-based STD system is able to detect OOV terms,...
Dong Wang, Simon King, Joe Frankel, Peter Bell
115
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WSC
2008
15 years 6 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi