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BMCBI
2007
115views more  BMCBI 2007»
14 years 9 months ago
How accurate and statistically robust are catalytic site predictions based on closeness centrality?
Background: We examine the accuracy of enzyme catalytic residue predictions from a network representation of protein structure. In this model, amino acid α-carbons specify vertic...
Eric Chea, Dennis R. Livesay
68
Voted
CORR
2007
Springer
94views Education» more  CORR 2007»
14 years 9 months ago
Statistical tools to assess the reliability of self-organizing maps
Results of neural network learning are always subject to some variability, due to the sensitivity to initial conditions, to convergence to local minima, and, sometimes more dramat...
Eric de Bodt, Marie Cottrell, Michel Verleysen
DAGSTUHL
2009
14 years 10 months ago
Statistical Mechanics of On-line Learning
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Michael Biehl, Nestor Caticha, Peter Riegler
HUC
2007
Springer
15 years 3 months ago
A Statistical Reasoning System for Medication Prompting
We describe our experience building and using a reasoning system for providing context-based prompts to elders to take their medication. We describe the process of specification, ...
Sengul Vurgun, Matthai Philipose, Misha Pavel
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
15 years 3 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard