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CONNECTION
2004
71views more  CONNECTION 2004»
15 years 6 months ago
Lack of combinatorial productivity in language processing with simple recurrent networks
An astronomical set of sentences can be produced in natural language by combining relatively simple sentence structures with a human-size lexicon. These sentences are within the ra...
Frank van der Velde, Gwendid T. van der Voort van ...
IR
2002
15 years 6 months ago
Hierarchical Text Categorization Using Neural Networks
This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
Miguel E. Ruiz, Padmini Srinivasan
INFOVIS
2003
IEEE
15 years 12 months ago
Visualizing Evolving Networks: Minimum Spanning Trees versus Pathfinder Networks
Network evolution is a ubiquitous phenomenon in a wide variety of complex systems. There is an increasing interest in statistically modeling the evolution of complex networks such...
Chaomei Chen, Steven Morris
ISMDA
2001
Springer
15 years 11 months ago
Learning Bayesian-Network Topologies in Realistic Medical Domains
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
AUSAI
2006
Springer
15 years 10 months ago
Learning Hybrid Bayesian Networks by MML
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
Rodney T. O'Donnell, Lloyd Allison, Kevin B. Korb