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» Hybrid Markov Logic Networks
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ICANN
2005
Springer
15 years 3 months ago
Classifying Unprompted Speech by Retraining LSTM Nets
Abstract. We apply Long Short-Term Memory (LSTM) recurrent neural networks to a large corpus of unprompted speech- the German part of the VERBMOBIL corpus. Training first on a fra...
Nicole Beringer, Alex Graves, Florian Schiel, J&uu...
HYBRID
2005
Springer
15 years 3 months ago
Hybrid Decentralized Control of Large Scale Systems
Abstract. Motivated by three applications which are under investigation at the Honeywell Research Laboratory in Minneapolis, we introduce a class of large scale control problems. I...
Francesco Borrelli, Tamás Keviczky, Gary J....
CNSR
2005
IEEE
210views Communications» more  CNSR 2005»
14 years 11 months ago
A Framework for Self-Management of Hybrid Wireless Networks Using Autonomic Computing Principles
The dramatic increase in the number of mobile subscribers has put a significant resource and service provisioning strain on current cellular networks in particular in terms of mu...
Chong Shen, Dirk Pesch, James Irvine
59
Voted
ICCAD
2005
IEEE
83views Hardware» more  ICCAD 2005»
15 years 6 months ago
Post-placement rewiring and rebuffering by exhaustive search for functional symmetries
Separate optimizations of logic and layout have been thoroughly studied in the past and are well documented for common benchmarks. However, to be competitive, modern circuit optim...
Kai-Hui Chang, Igor L. Markov, Valeria Bertacco
AAAI
2004
14 years 11 months ago
Fibring Neural Networks
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Artur S. d'Avila Garcez, Dov M. Gabbay