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NIPS
2007
15 years 8 months ago
Discovering Weakly-Interacting Factors in a Complex Stochastic Process
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Charlie Frogner, Avi Pfeffer
STAIRS
2008
113views Education» more  STAIRS 2008»
15 years 8 months ago
Integrating individual and social intelligence into module-based agents without central coordinator
Robots are complex entities that can be modeled as multi-agent systems. The multi-agent paradigm provides an integrated intelligence framework such as a path planning agent that us...
Bianca Innocenti, Beatriz López, Joaquim Sa...
225
Voted
RSS
2007
198views Robotics» more  RSS 2007»
15 years 8 months ago
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
Fabio T. Ramos, Dieter Fox, Hugh F. Durrant-Whyte
194
Voted
AAAI
2004
15 years 8 months ago
Making Argumentation More Believable
There are a number of frameworks for modelling argumentation in logic. They incorporate a formal representation of individual arguments and techniques for comparing conflicting ar...
Anthony Hunter
178
Voted
APVIS
2006
15 years 8 months ago
Predicting graph reading performance: a cognitive approach
Performance and preference measures are commonly used in the assessment of visualization techniques. This is important and useful in understanding differences in effectiveness bet...
Weidong Huang, Seok-Hee Hong, Peter Eades
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