38 search results - page 6 / 8 » Mathematical formulations of Hebbian learning |
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
Newborns must learn to structure incoming acoustic information into segments, words, phrases, etc., before they can start to learn language. This process is thought to rely on mod...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
A heretofore unsolved problem of great archaeological importance is the automatic assembly of pots made on a wheel from the hundreds (or thousands) of sherds found at an excavatio...
GAMESEC
2010
13 years 5 months ago
2010
Abstract. Many computer protection tools incorporate learning techniques that build mathematical models to capture the characteristics of system's activity and then check whet...
SIAMCOMP
2008
13 years 7 months ago
2008
Leslie Valiant recently proposed a theory of holographic algorithms. These novel algorithms achieve exponential speed-ups for certain computational problems compared to naive algo...