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TNN
1998
92views more  TNN 1998»
13 years 8 months ago
Inductive inference from noisy examples using the hybrid finite state filter
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
Marco Gori, Marco Maggini, Enrico Martinelli, Giov...
SIGMOD
2010
ACM
174views Database» more  SIGMOD 2010»
14 years 1 months ago
Sampling dirty data for matching attributes
We investigate the problem of creating and analyzing samples of relational databases to find relationships between string-valued attributes. Our focus is on identifying attribute...
Henning Köhler, Xiaofang Zhou, Shazia Wasim S...
CHI
2003
ACM
14 years 9 months ago
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
We describe and identify shortcomings in two statistics recently introduced to measure accuracy in text entry evaluations: the minimum string distance (MSD) error rate and keystro...
R. William Soukoreff, I. Scott MacKenzie
RECOMB
2006
Springer
14 years 9 months ago
Markov Additive Chains and Applications to Fragment Statistics for Peptide Mass Fingerprinting
Abstract. Peptide mass fingerprinting is a technique to identify a protein from its fragment masses obtained by mass spectrometry after enzymatic digestion. Recently, much attentio...
Hans-Michael Kaltenbach, Sebastian Böcker, Sv...
ICASSP
2008
IEEE
14 years 3 months ago
A GIS-like training algorithm for log-linear models with hidden variables
Conditional Random Fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immedi...
Georg Heigold, Thomas Deselaers, Ralf Schlüte...