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» A Forward Analysis for Recurrent Sets
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FLAIRS
2004
13 years 6 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin
JMLR
2012
11 years 7 months ago
Deep Boltzmann Machines as Feed-Forward Hierarchies
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
Grégoire Montavon, Mikio L. Braun, Klaus-Ro...
RP
2009
Springer
124views Control Systems» more  RP 2009»
13 years 11 months ago
Forward Analysis of Dynamic Network of Pushdown Systems Is Easier without Order
Dynamic networks of Pushdown Systems (PDN in short) have been introduced to perform static analysis of concurrent programs that may spawn threads dynamically. In this model the se...
Denis Lugiez
STACS
2009
Springer
13 years 11 months ago
Forward Analysis for WSTS, Part I: Completions
Well-structured transition systems provide the right foundation to compute a finite basis of the set of predecessors of the upward closure of a state. The dual problem, to compute...
Alain Finkel, Jean Goubault-Larrecq
IJCAI
2007
13 years 6 months ago
Encoding Closure Operators into Neural Networks
Motivated by basic ideas from formal concept analysis, we propose two ways to directly encode closure operators on finite sets in a 3-layered feed forward neural network.
Sebastian Rudolph