Evaluation of ontology-powered scientific research as a means to assess and improve ontology quality
CaptoMe ver-6.0
Interestingness Measures. Quality in KDD Levels of Quality Quality of discovered knowledge : f(D,M,U) Data Quality (D) Data Quality (D) Noise, accuracy,
2009 D&O Symposium Symposium Bailouts, Bankruptcy & D&O Panelists David Bradford, Advisen V.J. Dowling, Dowling & Partners Securities Stephen Guglielmo,
Insert your logo here. This speaker does not have any significant financial relationships with (1) the manufacturer(s) of commercial product(s) and/or.
Analogs: Or How I Learned to Stop Worrying and Love the Past… 10 April 2003 Robert Hart Penn State University Jeremy Ross, PSU Mike Fritsch, PSU Charles.
The HIGGINS domain The primary domain of HIGGINS is city navigation for pedestrians. Secondarily, HIGGINS is intended to provide simple information about.
1 A Prediction Interval for the Misclassification Rate E.B. Laber & S.A. Murphy.
Speaker Adaptation in Sphinx 3.x and CALO David Huggins-Daines [email protected] [email protected].
PGM: Tirgul 11 Na?ve Bayesian Classifier + Tree Augmented Na?ve Bayes (adapted from tutorial by Nir Friedman and Moises Goldszmidt.
Robotics Institute, Carnegie Mellon University IMTC’2002, Anchorage, AK, USA1 IMTC-2002-1077 Sensor Fusion [email protected] Sensor Fusion for Context Understanding.
Ideas in Confidence Annotation Arthur Chan. Three papers for today Frank Wessel et al, “Using Word Probabilities as Confidence Measures”
