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» Capturing the Uncertainty of Moving-Object Representations
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ICDE
2006
IEEE
204views Database» more  ICDE 2006»
16 years 1 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
15 years 3 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
15 years 1 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»
15 years 5 months 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
15 years 3 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