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» Parallel Training of Neural Networks for Speech Recognition
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117
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ISSA
2004
15 years 3 months ago
Utilizing Neural Networks For Effective Intrusion Detection
Computer security, and intrusion detection in particular, has become increasingly important in today's business environment, to help ensure safe and trusted commerce between ...
Martin Botha
128
Voted
IPPS
2007
IEEE
15 years 8 months ago
Recurrent neural networks towards detection of SQL attacks
In the paper we present a new approach based on application of neural networks to detect SQL attacks. SQL attacks are those attacks that take advantage of using SQL statements to ...
Jaroslaw Skaruz, Franciszek Seredynski
TASLP
2008
136views more  TASLP 2008»
15 years 1 months ago
On Acoustic Diversification Front-End for Spoken Language Identification
The parallel phone recognition followed by language model (PPRLM) architecture represents one of the state-of-the-art spoken language identification systems. A PPRLM system compris...
Khe Chai Sim, Haizhou Li
PPSN
2010
Springer
15 years 7 days ago
Indirect Encoding of Neural Networks for Scalable Go
Abstract. The game of Go has attracted much attention from the artificial intelligence community. A key feature of Go is that humans begin to learn on a small board, and then incr...
Jason Gauci, Kenneth O. Stanley
118
Voted
COLING
1996
15 years 3 months ago
FeasPar - A Feature Structure Parser Learning to Parse Spoken Language
We describe and experimentally evaluate a system, FeasPar, that learns parsing spontaneous speech. To train and run FeasPar (Feature Structure Parser), only limited handmodeled kn...
Finn Dag Buø, Alex Waibel