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APIN
2010
107views more  APIN 2010»
15 years 18 days ago
Extracting reduced logic programs from artificial neural networks
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
Jens Lehmann, Sebastian Bader, Pascal Hitzler
FUIN
2008
142views more  FUIN 2008»
15 years 16 days ago
Relational Transformation-based Tagging for Activity Recognition
Abstract. The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks...
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De R...
93
Voted
NPL
2000
99views more  NPL 2000»
15 years 7 days ago
On the Internal Representations of Product Units
This paper explores internal representation power of product units [1] that act as the functional nodes in the hidden layer of a multi-layer feedforward network. Interesting proper...
Jung-Hua Wang, Yi-Wei Yu, Jia-Horng Tsai
79
Voted
ACL
2010
14 years 10 months ago
Minimized Models and Grammar-Informed Initialization for Supertagging with Highly Ambiguous Lexicons
We combine two complementary ideas for learning supertaggers from highly ambiguous lexicons: grammar-informed tag transitions and models minimized via integer programming. Each st...
Sujith Ravi, Jason Baldridge, Kevin Knight
80
Voted
ACL
2009
14 years 10 months ago
ProLiV - a Tool for Teaching by Viewing Computational Linguistics
ProLiV - Animated Process-modeler of Complex (Computational) Linguistic Methods and Theories - is a fully modular, flexible, XML-based stand-alone Java application, used for compu...
Monica Gavrila, Cristina Vertan