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» Exponential utility maximization under partial information
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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 10 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
14 years 9 months ago
On the Anonymization of Sparse High-Dimensional Data
Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
Gabriel Ghinita, Yufei Tao, Panos Kalnis
VLDB
1997
ACM
78views Database» more  VLDB 1997»
13 years 11 months ago
Recovering Information from Summary Data
Data is often stored in summarized form, as a histogram of aggregates (COUNTs, SUMs, or AVeraGes) over speci ed ranges. We study how to estimate the original detail data from the ...
Christos Faloutsos, H. V. Jagadish, Nikolaos Sidir...
ICS
2005
Tsinghua U.
14 years 1 months ago
Power-aware resource allocation in high-end systems via online simulation
Traditionally, scheduling in high-end parallel systems focuses on how to minimize the average job waiting time and on how to maximize the overall system utilization. Despite the d...
Barry Lawson, Evgenia Smirni
ATAL
2008
Springer
13 years 9 months ago
The permutable POMDP: fast solutions to POMDPs for preference elicitation
The ability for an agent to reason under uncertainty is crucial for many planning applications, since an agent rarely has access to complete, error-free information about its envi...
Finale Doshi, Nicholas Roy