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» A Neural Probabilistic Language Model
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IJCNN
2006
IEEE
15 years 3 months ago
Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots
— Neural networks have been proposed as an ideal cognitive modeling methodology to deal with the symbol grounding problem. More recently, such neural network approaches have been...
Angelo Cangelosi, Emmanouil Hourdakis, Vadim Tikha...
ICLP
2009
Springer
15 years 10 months ago
Generative Modeling by PRISM
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Taisuke Sato
INTERSPEECH
2010
14 years 4 months ago
Improved neural network based language modelling and adaptation
Neural network language models (NNLM) have become an increasingly popular choice for large vocabulary continuous speech recognition (LVCSR) tasks, due to their inherent generalisa...
Junho Park, Xunying Liu, Mark J. F. Gales, Philip ...
QEST
2009
IEEE
15 years 4 months ago
Language-Level Symmetry Reduction for Probabilistic Model Checking
—Symmetry reduction is a technique for combating state-space explosion in model checking. The generic representatives approach to symmetry reduction uses a language-level transla...
Alastair F. Donaldson, Alice Miller, David Parker
PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
15 years 3 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen