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JMLR
2012
13 years 8 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
JMLR
2012
13 years 8 months ago
Statistical test for consistent estimation of causal effects in linear non-Gaussian models
This document contains supplementary material to the article ‘Statistical test for consistent estimation of causal effects in linear non-Gaussian models’, AISTATS 2012. A tabl...
Doris Entner, Patrik O. Hoyer, Peter Spirtes
ERSHOV
1999
Springer
15 years 10 months ago
Current Directions in Hyper-Programming
The traditional representation of a program is as a linear sequence of text. At some stage in the execution sequence the source text is checked for type correctness and its transla...
Ronald Morrison, Richard C. H. Connor, Quintin I. ...
ESOP
2006
Springer
15 years 10 months ago
ILC: A Foundation for Automated Reasoning About Pointer Programs
This paper presents a new program logic designed for facilitating automated reasoning about pointer programs. The program logic is directly inspired by previous work by O'Hea...
Limin Jia, David Walker
ECOOP
2007
Springer
15 years 10 months ago
Tracking Linear and Affine Resources with Java(X)
Java(X) is a framework for type refinement. It extends Java's type language with annotations drawn from an algebra X and structural subtyping in terms of the annotations. Each...
Markus Degen, Peter Thiemann, Stefan Wehr