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» Using Bayesian Networks to Model Agent Relationships
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ICANN
2003
Springer
14 years 2 months ago
Unsupervised Learning of a Kinematic Arm Model
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...
Heiko Hoffmann, Ralf Möller
DALT
2004
Springer
14 years 2 months ago
Representational Content and the Reciprocal Interplay of Agent and Environment
Declarative modelling approaches in principle assume a notion of representation or representational content for the modelling concepts. The notion of representational content as di...
Tibor Bosse, Catholijn M. Jonker, Jan Treur
CIKM
2010
Springer
13 years 7 months ago
Discriminative factored prior models for personalized content-based recommendation
Most existing content-based filtering approaches including Rocchio, Language Models, SVM, Logistic Regression, Neural Networks, etc. learn user profiles independently without ca...
Lanbo Zhang, Yi Zhang 0001
ACL
2010
13 years 7 months ago
PCFGs, Topic Models, Adaptor Grammars and Learning Topical Collocations and the Structure of Proper Names
This paper establishes a connection between two apparently very different kinds of probabilistic models. Latent Dirichlet Allocation (LDA) models are used as "topic models&qu...
Mark Johnson
COLT
2008
Springer
13 years 10 months ago
Combining Expert Advice Efficiently
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
Wouter M. Koolen, Steven de Rooij