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ICANNGA
2009
Springer
145views Algorithms» more  ICANNGA 2009»
15 years 8 months ago
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
We propose a generalized model with configurable discretizer actuators as a solution to the problem of the discretization of massive numerical datasets. Our solution is based on a ...
Isaac Olusegun Osunmakinde, Antoine B. Bagula
PERCOM
2007
ACM
16 years 1 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday
WCRE
2008
IEEE
15 years 7 months ago
A Bayesian Network Based Approach for Change Coupling Prediction
Source code coupling and change history are two important data sources for change coupling analysis. The popularity of public open source projects in recent years makes both sourc...
Yu Zhou, Michael Würsch, Emanuel Giger, Haral...
CL
2000
Springer
15 years 5 months ago
Logic, Knowledge Representation, and Bayesian Decision Theory
In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
David Poole
ICCV
2005
IEEE
16 years 3 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall