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UAI
2004
13 years 6 months ago
A Bayesian Approach toward Active Learning for Collaborative Filtering
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
Rong Jin, Luo Si
ICDE
2005
IEEE
130views Database» more  ICDE 2005»
13 years 10 months ago
Data Acquisition in Sensor Networks with Large Memories
Sensor Networks will soon become ubiquitous, making them essential tools for monitoring the activity and evolution of our surrounding environment. However such environments are ex...
Demetrios Zeinalipour-Yazti, Vana Kalogeraki, Dimi...
CEC
2007
IEEE
13 years 11 months ago
A Utile Function Optimizer
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
IBPRIA
2009
Springer
13 years 9 months ago
Inference and Learning for Active Sensing, Experimental Design and Control
In this paper we argue that maximum expected utility is a suitable framework for modeling a broad range of decision problems arising in pattern recognition and related fields. Exa...
Hendrik Kück, Matthew Hoffman, Arnaud Doucet,...
AAAI
2006
13 years 6 months ago
Using an Ontology for Knowledge Acquisition
We describe an approach to distributed knowledge acquisition using an ontology. The ontology is used to represent and reason about soldier performance. These methods are embedded ...
Stacy Lovell, Webb Stacy