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» Modeling Rule Precision
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171
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AAAI
1997
15 years 8 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
IMAGING
2000
15 years 8 months ago
Conversion Between CMYK Spaces Preserving Black Separation
This paper describes a method for developing a transform between two device CMYK spaces in a way that preserves information about the black separation. An important application of...
Tomasz J. Cholewo
171
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PDPTA
2000
15 years 8 months ago
On the application of accelerating simulation methods in network analysis
When evaluating quantitative aspects of communication networks using simulation, one of the main difficulties to face is the often considerable computing power required. In some s...
José Incera, Gerardo Rubino, Nicolás...
198
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AAAI
1996
15 years 8 months ago
Robot Navigation Using Image Sequences
We describe a framework for robot navigation that exploits the continuity of image sequences. Tracked visual features both guide the robot and provide predictive information about...
Christopher Rasmussen, Gregory D. Hager
176
Voted
NIPS
1994
15 years 8 months ago
From Data Distributions to Regularization in Invariant Learning
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
Todd K. Leen