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NIPS
2000
15 years 6 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
136
Voted
ATAL
2010
Springer
15 years 6 months ago
When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty
Increasing teamwork between agents typically increases the performance of a multi-agent system, at the cost of increased communication and higher computational complexity. This wo...
Matthew E. Taylor, Manish Jain, Yanquin Jin, Makot...
CORR
2010
Springer
112views Education» more  CORR 2010»
15 years 5 months ago
On Finding Frequent Patterns in Event Sequences
Given a directed acyclic graph with labeled vertices, we consider the problem of finding the most common label sequences ("traces") among all paths in the graph (of some...
Andrea Campagna, Rasmus Pagh
138
Voted
CORR
2007
Springer
124views Education» more  CORR 2007»
15 years 5 months ago
Graph-Based Decoding in the Presence of ISI
We propose a new graph representation for ISI channels that can be used for combined equalization and decoding by linear programming (LP) or iterative message-passing (IMP) decodi...
Mohammad H. Taghavi, Paul H. Siegel
159
Voted
PVLDB
2010
152views more  PVLDB 2010»
15 years 3 months ago
k-Nearest Neighbors in Uncertain Graphs
Complex networks, such as biological, social, and communication networks, often entail uncertainty, and thus, can be modeled as probabilistic graphs. Similar to the problem of sim...
Michalis Potamias, Francesco Bonchi, Aristides Gio...