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» Predicting relative performance of classifiers from samples
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PRL
2006
78views more  PRL 2006»
14 years 9 months ago
The interaction between classification and reject performance for distance-based reject-option classifiers
Consider the class of problems in which a target class is well-defined, and an outlier class is ill-defined. In these cases new outlier classes can appear, or the class-conditiona...
Thomas Landgrebe, David M. J. Tax, Pavel Pacl&iacu...
CIVR
2010
Springer
204views Image Analysis» more  CIVR 2010»
15 years 1 months ago
Utilizing related samples to learn complex queries in interactive concept-based video search
One of the main challenges in interactive concept-based video search is the insufficient relevant sample problem, especially for queries with complex semantics. To address this pr...
Jin Yuan, Zheng-Jun Zha, Zhengdong Zhao, Xiangdong...
KDD
2003
ACM
175views Data Mining» more  KDD 2003»
15 years 10 months ago
Time and sample efficient discovery of Markov blankets and direct causal relations
Data Mining with Bayesian Network learning has two important characteristics: under broad conditions learned edges between variables correspond to causal influences, and second, f...
Ioannis Tsamardinos, Constantin F. Aliferis, Alexa...
IJCNN
2006
IEEE
15 years 3 months ago
Predicting Juvenile Diabetes from Clinical Test Results
—Two approaches to building models for prediction of the onset of Type 1 diabetes mellitus in juvenile subjects were examined. A set of tests performed immediately before diagnos...
Shibendra S. Pobi, Lawrence O. Hall
BMCBI
2006
94views more  BMCBI 2006»
14 years 9 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...