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KDD
1995
ACM
95views Data Mining» more  KDD 1995»
15 years 3 months ago
Limits on Learning Machine Accuracy Imposed by Data Quality
Random errors and insufficiencies in databases limit the performance of any classifier trained from and applied to the database. In this paper we propose a method to estimate the ...
Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chian...
FOIS
2008
15 years 1 months ago
Similarity as a Quality Indicator in Ontology Engineering
In the last years, several methodologies for ontology engineering have been proposed. Most of these methodologies guide the engineer from a first paper draft to an implemented
Krzysztof Janowicz, Patrick Maué, Marc Wilk...
GIS
2009
ACM
14 years 9 months ago
Quality assessment of automatically generated feature maps for future driver assistance systems
Future driver assistance systems will require highly accurate positioning. One way to achieve this is by using on-board sensors to measure the relative location of landmarks for w...
Sabine Hofmann, Claus Brenner
ICML
2009
IEEE
16 years 15 days ago
Herding dynamical weights to learn
A new "herding" algorithm is proposed which directly converts observed moments into a sequence of pseudo-samples. The pseudosamples respect the moment constraints and ma...
Max Welling
ICGI
2004
Springer
15 years 5 months ago
Learning Stochastic Finite Automata
Abstract. Stochastic deterministic finite automata have been introduced and are used in a variety of settings. We report here a number of results concerning the learnability of th...
Colin de la Higuera, José Oncina