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» A selective sampling approach to active feature selection
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CHI
2002
ACM
15 years 10 months ago
User activity histories
Current software interfaces fail to incorporate historical data from user interaction into their design. While some systems exhibit a minimalist use of history in the form of undo...
Etienne Pelaprat, R. Benjamin Shapiro
ICML
2005
IEEE
15 years 10 months ago
Bayesian sparse sampling for on-line reward optimization
We present an efficient "sparse sampling" technique for approximating Bayes optimal decision making in reinforcement learning, addressing the well known exploration vers...
Tao Wang, Daniel J. Lizotte, Michael H. Bowling, D...
CVIU
2004
155views more  CVIU 2004»
14 years 9 months ago
Object of interest-based visual navigation, retrieval, and semantic content identification system
This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexe...
Khalid Idrissi, Guillaume Lavoué, Julien Ri...
EOR
2007
86views more  EOR 2007»
14 years 10 months ago
Multiple dependent state sampling plans for lot acceptance based on measurement data
This paper proposes a multiple dependent (or deferred) state sampling plan by variables for the inspection of normally distributed quality characteristics. The decision upon the a...
S. Balamurali, Chi-Hyuck Jun
DGO
2008
126views Education» more  DGO 2008»
14 years 11 months ago
Active learning for e-rulemaking: public comment categorization
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques...
Stephen Purpura, Claire Cardie, Jesse Simons