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ESOP
2011
Springer
13 years 9 days ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...

Publication
233views
12 years 7 months ago
Sparse reward processes
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
Christos Dimitrakakis
EDBT
2009
ACM
136views Database» more  EDBT 2009»
14 years 3 months ago
On the comparison of microdata disclosure control algorithms
Privacy models such as k-anonymity and -diversity typically offer an aggregate or scalar notion of the privacy property that holds collectively on the entire anonymized data set....
Rinku Dewri, Indrajit Ray, Indrakshi Ray, Darrell ...
CIKM
2009
Springer
14 years 3 months ago
P-Rank: a comprehensive structural similarity measure over information networks
With the ubiquity of information networks and their broad applications, the issue of similarity computation between entities of an information network arises and draws extensive r...
Peixiang Zhao, Jiawei Han, Yizhou Sun
WIKIS
2009
ACM
14 years 3 months ago
Herding the cats: the influence of groups in coordinating peer production
Peer production systems rely on users to self-select appropriate tasks and “scratch their personal itch”. However, many such systems require significant maintenance work, whic...
Aniket Kittur, Bryan A. Pendleton, Robert E. Kraut