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JMLR
2012
13 years 2 months ago
Deep Learning Made Easier by Linear Transformations in Perceptrons
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
Tapani Raiko, Harri Valpola, Yann LeCun
VL
2000
IEEE
130views Visual Languages» more  VL 2000»
15 years 4 months ago
An OO Visual Language Definition Approach Supporting Multiple Views
The formal approach to visual language definition is to use graph grammars and/or graph transformation techniques. These techniques focus on specifying the syntax and manipulation...
David H. Akehurst
VL
2009
IEEE
187views Visual Languages» more  VL 2009»
15 years 6 months ago
Changing euler diagram properties by edge transformation of euler dual graphs
Euler diagrams form the basis of several visual modelling notations, including statecharts and constraint diagrams. Recently, various techniques for automated Euler diagram drawin...
John Howse, Peter Rodgers, Gem Stapleton
TCS
2002
14 years 11 months ago
A unified language processing methodology
This paper discusses a mathematical concept of language that models both artificial and natural languages and thus provides a framework for a unified language processing methodolo...
Teodor Rus
CLEF
2009
Springer
15 years 1 months ago
MorphoNet: Exploring the Use of Community Structure for Unsupervised Morpheme Analysis
This paper investigates a novel approach to unsupervised morphology induction relying on community detection in networks. In a first step, morphological transformation rules are a...
Delphine Bernhard