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AI
1998
Springer
13 years 8 months ago
Uncertainty Measures of Rough Set Prediction
The main statistics used in rough set data analysis, the approximation quality, is of limited value when there is a choice of competing models for predicting a decision variable. ...
Ivo Düntsch, Günther Gediga
DCC
2010
IEEE
13 years 7 months ago
Neural Markovian Predictive Compression: An Algorithm for Online Lossless Data Compression
This work proposes a novel practical and general-purpose lossless compression algorithm named Neural Markovian Predictive Compression (NMPC), based on a novel combination of Bayesi...
Erez Shermer, Mireille Avigal, Dana Shapira
ISVC
2010
Springer
13 years 7 months ago
Predicting Segmentation Accuracy for Biological Cell Images
Abstract. We have performed segmentation procedures on a large number of images from two mammalian cell lines that were seeded at low density, in order to study trends in the segme...
Adele P. Peskin, Alden Dima, Joe Chalfoun, John T....
MANSCI
2010
113views more  MANSCI 2010»
13 years 7 months ago
Prediction Markets: Alternative Mechanisms for Complex Environments with Few Traders
Double auction prediction markets have proven successful in large-scale applications such as elections and sporting events. Consequently, several large corporations have adopted t...
Paul J. Healy, Sera Linardi, J. Richard Lowery, Jo...
ACL
2012
11 years 11 months ago
Prediction of Learning Curves in Machine Translation
Parallel data in the domain of interest is the key resource when training a statistical machine translation (SMT) system for a specific purpose. Since ad-hoc manual translation c...
Prasanth Kolachina, Nicola Cancedda, Marc Dymetman...