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AAAI
1996
15 years 8 months ago
An Optimal Contracting Strategy in a Digital Library
Agents can benefit from contracting some of their tasks that cannot be performedby themselves or that can be performed moreefficiently by other agents. Developing an agent's ...
Sunju Park, Edmund H. Durfee
INFOCOM
2010
IEEE
15 years 4 months ago
Surfing the Blogosphere: Optimal Personalized Strategies for Searching the Web
We propose a distributed mechanism for finding websurfing strategies that is inspired by the StumbleUpon recommendation engine. Each day, a websurfer visits a sequence of websites ...
Stratis Ioannidis, Laurent Massoulié
CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 1 months ago
Combinatorial Network Optimization with Unknown Variables: Multi-Armed Bandits with Linear Rewards
In the classic multi-armed bandits problem, the goal is to have a policy for dynamically operating arms that each yield stochastic rewards with unknown means. The key metric of int...
Yi Gai, Bhaskar Krishnamachari, Rahul Jain
TSP
2011
170views more  TSP 2011»
15 years 1 months ago
Joint TDOA and FDOA Estimation: A Conditional Bound and Its Use for Optimally Weighted Localization
—Modern passive emitter-location systems are often based on joint estimation of the time-difference of arrival (TDOA) and frequency-difference of arrival (FDOA) of an unknown sig...
Arie Yeredor, Eyal Angel
NIPS
1998
15 years 8 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis