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UAI
2004
15 years 8 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
JMLR
2006
118views more  JMLR 2006»
15 years 6 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
IEEEMSP
2002
IEEE
167views Multimedia» more  IEEEMSP 2002»
15 years 11 months ago
An experimental study on the performance of visual information retrieval similarity models
–This paper is an experimental study on the performance of the two major methods for macro-level similarity measurement: linear weighted merging and logical retrieval. Performanc...
Horst Eidenberger, Christian Breiteneder
169
Voted
CDC
2008
IEEE
115views Control Systems» more  CDC 2008»
16 years 1 months ago
Optimal sensor activation in controlled discrete event systems
— The problem of sensor activation in a controlled discrete event system is considered. Sensors are assumed to be costly and can be turned on/off during the operation of the syst...
Weilin Wang, Stéphane Lafortune, Feng Lin
CISS
2008
IEEE
16 years 1 months ago
Optimizing wireless networks for heterogeneous spatial loads
—Large-scale wireless networks must be designed such that there are no gaps in coverage. It is also desirable to minimize the number of access points used in order to minimize th...
Balaji Rengarajan, Gustavo de Veciana