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» Physical limits of inference
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138
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UAI
2008
15 years 3 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
118
Voted
UAI
2004
15 years 3 months ago
Convolutional Factor Graphs as Probabilistic Models
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
103
Voted
AAAI
1997
15 years 3 months ago
Model Decomposition and Simulation: A Component Based Qualitative Simulation Algorithm
Traditionally, qualitative simulation uses a global, state-based representation to describe the behavior of the modeled system. For larger, more complex systems this representatio...
Daniel J. Clancy, Benjamin Kuipers
NIPS
1998
15 years 3 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski
WSC
1997
15 years 3 months ago
A Performance Monitoring Application for Distributed Interactive Simulations (DIS)
This paper discusses the design, development, and use of a performance monitoring tool for Distributed Interactive Simulations (DIS). A typical DIS environment consists of hundred...
David B. Cavitt, C. Michael Overstreet, Kurt Maly