Sciweavers

916 search results - page 46 / 184
» Using redundancies to find errors
Sort
View
JMLR
2008
111views more  JMLR 2008»
13 years 11 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz
ICPR
2000
IEEE
15 years 1 days ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
IQ
2007
14 years 12 days ago
Simulations Of Error Propagation For Prioritizing Data Accuracy Improvement Efforts
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
Irit Askira Gelman
SSD
1997
Springer
131views Database» more  SSD 1997»
14 years 3 months ago
Topological Error Correcting in GIS
It is agreed upon that topological relations ore of great importance regarding to GIS data sets consistency. A lot of errors that can be found in GIS data sets are coming from a l...
Thierry Ubeda, Max J. Egenhofer
ITIIS
2010
183views more  ITIIS 2010»
13 years 9 months ago
Reversible Watermarking Method Using Optimal Histogram Pair Shifting Based on Prediction and Sorting
To be reversible as a data hiding method, the original content and hidden message should be completely recovered. One important objective of this approach is to achieve high embed...
Hee Joon Hwang, Hyoung Joong Kim, Vasiliy Sachnev,...