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UAI
2003
10 years 5 months ago
Learning Riemannian Metrics
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
Guy Lebanon
UAI
2003
10 years 5 months ago
Preference-based Graphic Models for Collaborative Filtering
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
Rong Jin, Luo Si, ChengXiang Zhai
UAI
2003
10 years 5 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
UAI
2003
10 years 5 months ago
Layerwidth: Analysis of a New Metric for Directed Acyclic Graphs
We analyze a new property of directed acyclic graphs (DAGs), called layerwidth, arising from a class of DAGs proposed by Eiter and Lukasiewicz. This class of DAGs permits certain ...
Mark Hopkins
UAI
2003
10 years 5 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
UAI
2003
10 years 5 months ago
A Logic for Reasoning about Evidence
We introduce a logic for reasoning about evidence that essentially views evidence as a function from prior beliefs (before making an observation) to posterior beliefs (after makin...
Joseph Y. Halpern, Riccardo Pucella
UAI
2003
10 years 5 months ago
Monte-Carlo optimizations for resource allocation problems in stochastic network systems
Real-world distributed systems and networks are often unreliable and subject to random failures of its components. Such a stochastic behavior affects adversely the complexity of o...
Milos Hauskrecht, Tomás Singliar
UAI
2003
10 years 5 months ago
Implementation and Comparison of Solution Methods for Decision Processes with Non-Markovian Rewards
This paper examines a number of solution methods for decision processes with non-Markovian rewards (NMRDPs). They all exploit a temporal logic specification of the reward functio...
Charles Gretton, David Price, Sylvie Thiéba...
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