Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
This paper introduces a new neural network language model (NNLM) based on word clustering to structure the output vocabulary: Structured Output Layer NNLM. This model is able to h...
Hai Son Le, Ilya Oparin, Alexandre Allauzen, Jean-...
Continuous quality assessment is crucial for the long-term success of evolving software. On the one hand, code analysis tools automatically supply quality indicators, but do not p...
Florian Deissenboeck, Lars Heinemann, Markus Herrm...
Networking Named Content (NNC) was recently proposed as a new networking paradigm to realise Content Centric Networks (CCNs). The new paradigm changes much about the current Intern...
Ioannis Psaras, Richard G. Clegg, Raul Landa, Wei ...
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...