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» An ASM-Characterization of a Class of Distributed Algorithms
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71
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ECCC
2010
89views more  ECCC 2010»
14 years 9 months ago
Estimating the unseen: A sublinear-sample canonical estimator of distributions
We introduce a new approach to characterizing the unobserved portion of a distribution, which provides sublinear-sample additive estimators for a class of properties that includes...
Gregory Valiant, Paul Valiant
ILP
2003
Springer
15 years 2 months ago
Applying Theory Revision to the Design of Distributed Databases
This work presents the application of theory revision to the design of distributed databases to automatically revise a heuristic-based algorithm (called analysis algorithm) through...
Fernanda Araujo Baião, Marta Mattoso, Jude ...
GLOBECOM
2009
IEEE
15 years 1 months ago
Distributed Averaging in Dense Wireless Networks
We consider the effect of network throughput on the convergence of a specific class of distributed averaging algorithms, called consensus algorithms. These algorithms rely on itera...
Sundaram Vanka, Martin Haenggi, Vijay Gupta
AAAI
2006
14 years 11 months ago
Targeting Specific Distributions of Trajectories in MDPs
We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
David L. Roberts, Mark J. Nelson, Charles Lee Isbe...
65
Voted
CIKM
2009
Springer
15 years 4 months ago
Combining labeled and unlabeled data with word-class distribution learning
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
Yanjun Qi, Ronan Collobert, Pavel Kuksa, Koray Kav...