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» On the Need for a Neural Abstract Machine
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ICANN
2005
Springer
15 years 11 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
IJCNN
2007
IEEE
15 years 12 months ago
Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation
— Serious efforts to develop computerized systems for natural language understanding and machine translation have taken place for more than half a century. Some successful system...
Timo Honkela
SIGIR
2003
ACM
15 years 11 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
ICANN
2009
Springer
15 years 3 months ago
MINLIP: Efficient Learning of Transformation Models
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
IFL
2005
Springer
103views Formal Methods» more  IFL 2005»
15 years 11 months ago
Accurate Step Counting
Abstract Starting with an evaluator for a language, an abstract machine for the same language can be mechanically derived using successive program transformations. This has relevan...
Catherine Hope, Graham Hutton