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» Capturing the Uncertainty of Moving-Object Representations
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ICDE
2006
IEEE
204views Database» more  ICDE 2006»
14 years 9 months ago
Working Models for Uncertain Data
This paper explores an inherent tension in modeling and querying uncertain data: simple, intuitive representations of uncertain data capture many application requirements, but the...
Anish Das Sarma, Omar Benjelloun, Alon Y. Halevy, ...
PODC
1995
ACM
13 years 11 months ago
Knowledge-Based Programs
We show how solution concepts in games such as Nash equilibrium, correlated equilibrium, rationalizability, and sequential equilibrium can be given a uniform definition in terms ...
Ronald Fagin, Joseph Y. Halpern, Yoram Moses, Mosh...
NIPS
2004
13 years 9 months ago
Inference, Attention, and Decision in a Bayesian Neural Architecture
We study the synthesis of neural coding, selective attention and perceptual decision making. We build a hierarchical neural architecture that implements Bayesian integration of no...
Angela J. Yu, Peter Dayan
ICRA
2003
IEEE
146views Robotics» more  ICRA 2003»
14 years 25 days ago
An atlas framework for scalable mapping
Abstract— This paper describes Atlas, a hybrid metrical/topological approach to SLAM that achieves efficient mapping of large-scale environments. The representation is a graph o...
Michael Bosse, Paul M. Newman, John J. Leonard, Ma...
ILP
1999
Springer
13 years 11 months ago
Probabilistic Relational Models
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Daphne Koller