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UAI
2004
15 years 7 months ago
PAC-learning Bounded Tree-width Graphical Models
We show that the class of strongly connected graphical models with treewidth at most k can be properly efficiently PAC-learnt with respect to the Kullback-Leibler Divergence. Prev...
Mukund Narasimhan, Jeff A. Bilmes
168
Voted
JMLR
2006
145views more  JMLR 2006»
15 years 6 months ago
Ensemble Pruning Via Semi-definite Programming
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
Yi Zhang 0006, Samuel Burer, W. Nick Street
EEF
2000
15 years 10 months ago
Distributed and Structured Analysis Approaches to Study Large and Complex Systems
Both the logic and the stochastic analysis of discrete-state systems are hindered by the combinatorial growth of the state space underlying a high-level model. In this work, we con...
Gianfranco Ciardo
AAAI
2006
15 years 7 months ago
Efficient Active Fusion for Decision-Making via VOI Approximation
Active fusion is a process that purposively selects the most informative information from multiple sources as well as combines these information for achieving a reliable result ef...
Wenhui Liao, Qiang Ji
STOC
2010
ACM
261views Algorithms» more  STOC 2010»
15 years 11 months ago
An Improved LP-based Approximation for Steiner Tree
The Steiner tree problem is one of the most fundamental ÆÈ-hard problems: given a weighted undirected graph and a subset of terminal nodes, find a minimum weight tree spanning ...
Jaroslaw Byrka, Fabrizio Grandoni, Thomas Rothvoss...