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NECO
2008
60views more  NECO 2008»
15 years 6 months ago
Sleeping Our Way to Weight Normalization and Stable Learning
The functions of sleep have been an enduring mystery. Recently, Tononi and Cirelli hypothesized that one of the functions of slow-wave sleep is to scale down synapses in the corte...
Thomas J. Sullivan, Virginia R. de Sa
RIA
2006
84views more  RIA 2006»
15 years 6 months ago
Learning Recursive Automata from Positive Examples
In this theoretical paper, we compare the "classical" learning techniques used to infer regular grammars from positive examples with the ones used to infer categorial gra...
Isabelle Tellier
IJIIDS
2007
57views more  IJIIDS 2007»
15 years 6 months ago
Evaluating learning algorithms and classifiers
: We analyse 18 evaluation methods for learning algorithms and classifiers, and show how to categorise these methods with the help of an evaluation method taxonomy based on several...
Niklas Lavesson, Paul Davidsson
ETAI
2000
84views more  ETAI 2000»
15 years 6 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
IJON
2000
85views more  IJON 2000»
15 years 6 months ago
Hebbian learning and temporary storage in the convergence-zone model of episodic memory
The Convergence-Zone model shows how sparse, random memory patterns can lead to one-shot storage and high capacity in the hippocampal component of the episodic memory system. This...
Michael Howe, Risto Miikkulainen