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JAIR
2007
127views more  JAIR 2007»
13 years 9 months ago
Learning Symbolic Models of Stochastic Domains
In this article, we work towards the goal of developing agents that can learn to act in complex worlds. We develop a a new probabilistic planning rule representation to compactly ...
Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack ...
WIOPT
2010
IEEE
13 years 7 months ago
Stochastic modeling of carrier sensing based cognitive radio networks
In this paper, we propose a comprehensive probabilistic framework which can be used to model and analyze cognitive radio (CR) network using carrier sensing (CS) based multiple acc...
Nguyen Tien Viet, François Baccelli
AAAI
2006
13 years 10 months ago
Mixtures of Predictive Linear Gaussian Models for Nonlinear, Stochastic Dynamical Systems
The Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent parame...
David Wingate, Satinder P. Singh
CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 4 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
PDPTA
2008
13 years 10 months ago
Predicting Web Cache Behavior using Stochastic State-Space Models
Web caches play an important role in improving the surfing experience of Web clients and reducing the network traffic seen by Web servers. Accurate analytical models of Web caches ...
Amitayu Das, Ritendra Datta, Bhuvan Urgaonkar, Ana...