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» Complexity of Inference in Graphical Models
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KI
2007
Springer
14 years 4 months ago
Location-Based Activity Recognition
Learning patterns of human behavior from sensor data is extremely important for high-level activity inference. We show how to extract and label a person’s activities and signiď¬...
Dieter Fox
AUSAI
1998
Springer
14 years 1 months ago
Adjusted Probability Naive Bayesian Induction
Naive Bayesian classi ers utilise a simple mathematical model for induction. While it is known that the assumptions on which this model is based are frequently violated, the predic...
Geoffrey I. Webb, Michael J. Pazzani
WSC
2008
14 years 13 days ago
Information fusion in underwater sonar simulation
This paper discusses information fusion methodologies, selection of one of these methodologies, and application of these fusion methodologies to underwater sonar simulation. Bayes...
Yanshen Zhu, Maria Bull, Haluk M. Akin, José...
WSC
2007
14 years 13 days ago
Expecting the unexpected: representing, reasoning about, and assessing construction project contingencies
Planning, scheduling and effective management of contingencies are crucial for the successful management of construction projects. In this paper we explore a mathematical represen...
G. Ryan Anderson, Nilufer Onder, Amlan Mukherjee
ICML
2010
IEEE
13 years 11 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...