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EACL
2006
ACL Anthology
15 years 2 months ago
Bayesian Network, a Model for NLP?
The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
Davy Weissenbacher
JMLR
2012
13 years 3 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 3 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
96
Voted
IFIP
2004
Springer
15 years 6 months ago
A Formal Approach to Specify and Deploy a Network Security Policy
Current firewall configuration languages have no well founded semantics. Each firewall implements its own algorithm that parses specific proprietary languages. The main conseq...
Frédéric Cuppens, Nora Cuppens-Boula...
105
Voted
EMSOFT
2004
Springer
15 years 6 months ago
Loose synchronization of event-triggered networks for distribution of synchronous programs
Dataflow synchronous languages have attracted considerable interest in domains such as real-time control and hardware design. The potential benefits are promising: Discrete-time...
Jan Romberg, Andreas Bauer 0002