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» Conditional Selectivity for Statistics on Query Expressions
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NIPS
2003
13 years 6 months ago
AUC Optimization vs. Error Rate Minimization
The area under an ROC curve (AUC) is a criterion used in many applications to measure the quality of a classification algorithm. However, the objective function optimized in most...
Corinna Cortes, Mehryar Mohri
ML
2010
ACM
163views Machine Learning» more  ML 2010»
12 years 11 months ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi
BMCBI
2010
164views more  BMCBI 2010»
13 years 2 months ago
Merged consensus clustering to assess and improve class discovery with microarray data
Background: One of the most commonly performed tasks when analysing high throughput gene expression data is to use clustering methods to classify the data into groups. There are a...
T. Ian Simpson, J. Douglas Armstrong, Andrew P. Ja...
OTM
2007
Springer
13 years 11 months ago
Parallelizing Tableaux-Based Description Logic Reasoning
Practical scalability of Description Logic (DL) reasoning is an important premise for the adoption of OWL in a real-world setting. Many highly efficient optimizations for the DL ta...
Thorsten Liebig, Felix Müller
FUIN
2010
130views more  FUIN 2010»
13 years 3 months ago
SLGAD Resolution for Inference on Logic Programs with Annotated Disjunctions
Abstract. Logic Programs with Annotated Disjunctions (LPADs) allow to express probabilistic information in logic programming. The semantics of an LPAD is given in terms of the well...
Fabrizio Riguzzi