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NIPS
2001
15 years 8 months ago
The Infinite Hidden Markov Model
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integ...
Matthew J. Beal, Zoubin Ghahramani, Carl Edward Ra...
ICPR
2010
IEEE
15 years 6 months ago
The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround
Abstract—We point out a problem inherent in the optimization scheme of many popular feature selection methods. It follows from the implicit assumption that higher feature selecti...
Petr Somol, Jiri Grim, Pavel Pudil
APIN
2010
107views more  APIN 2010»
15 years 6 months 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
AMAI
2002
Springer
15 years 6 months ago
Minimizing Output Error in Multi-Layer Perceptrons
act It is well-established that a multi-layer perceptron (MLP) with a single hidden layer of N neurons and an activation function bounded by zero at negative infinity and one at in...
Jonathan P. Bernick
AAAI
2011
14 years 6 months ago
Tree Sequence Kernel for Natural Language
We propose Tree Sequence Kernel (TSK), which implicitly exhausts the structure features of a sequence of subtrees embedded in the phrasal parse tree. By incorporating the capabili...
Jun Sun, Min Zhang, Chew Lim Tan