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SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
15 years 9 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
IJCAI
2003
15 years 9 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
SIGIR
2002
ACM
15 years 7 months ago
Predicting query performance
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...
Stephen Cronen-Townsend, Yun Zhou, W. Bruce Croft
CVIU
2011
14 years 11 months ago
Single and sparse view 3D reconstruction by learning shape priors
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
Yu Chen, Roberto Cipolla
CORR
2007
Springer
169views Education» more  CORR 2007»
15 years 7 months ago
Algorithmic Complexity Bounds on Future Prediction Errors
We bound the future loss when predicting any (computably) stochastic sequence online. Solomonoff finitely bounded the total deviation of his universal predictor M from the true d...
Alexey V. Chernov, Marcus Hutter, Jürgen Schm...