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» Representing Uncertainty in RuleML
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ICRA
2008
IEEE
160views Robotics» more  ICRA 2008»
14 years 2 months ago
Probabilistic localization with a blind robot
Abstract— Researchers have addressed the localization problem for mobile robots using many different kinds of sensors, including rangefinders, cameras, and odometers. In this pa...
Lawrence H. Erickson, Joseph Knuth, Jason M. O'Kan...
NIPS
2003
13 years 9 months ago
Probabilistic Inference in Human Sensorimotor Processing
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
Konrad P. Körding, Daniel M. Wolpert
JUCS
2010
176views more  JUCS 2010»
13 years 6 months ago
An Approach to Generation of Decision Rules
: Classical classification and clustering based on equivalence relations are very important tools in decision-making. An equivalence relation is usually determined by properties of...
Zhang Mingyi, Danning Li, Zhang Ying
JIRS
2000
121views more  JIRS 2000»
13 years 7 months ago
Entropy-Based Markov Chains for Multisensor Fusion
Abstract. This paper proposes an entropy based Markov chain (EMC) fusion technique and demonstrates its applications in multisensor fusion. Self-entropy and conditional entropy, wh...
Albert C. S. Chung, Helen C. Shen
JMLR
2002
138views more  JMLR 2002»
13 years 7 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...