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FLAIRS
2004
15 years 2 months ago
Case-Based Bayesian Network Classifiers
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
Eugene Santos, Ahmed Huessin
INFOCOM
2010
IEEE
14 years 11 months ago
Bayesian Inference for Localization in Cellular Networks
—In this paper, we present a general technique based on Bayesian inference to locate mobiles in cellular networks. We study the problem of localizing users in a cellular network ...
Hui Zang, François Baccelli, Jean Bolot
COGSCI
2006
75views more  COGSCI 2006»
15 years 1 months ago
A Hierarchical Bayesian Model of Human Decision-Making on an Optimal Stopping Problem
We consider human performance on an optimal stopping problem where people are presented with a list of numbers independently chosen from a uniform distribution. People are told ho...
Michael D. Lee
UIC
2007
Springer
15 years 7 months ago
Location-Based Recommendation System Using Bayesian User's Preference Model in Mobile Devices
As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user’s phy...
Moon-Hee Park, Jin-Hyuk Hong, Sung-Bae Cho
IJCAI
1989
15 years 2 months ago
Generation, Local Receptive Fields and Global Convergence Improve Perceptual Learning in Connectionist Networks
This paper presents and compares results for three types of connectionist networks on perceptual learning tasks: [A] Multi-layered converging networks of neuron-like units, with e...
Vasant Honavar, Leonard Uhr