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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 12 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
CSL
2004
Springer
13 years 8 months ago
A mixed-level switching dynamic system for continuous speech recognition
9 A two-level mixture linear dynamic system model, with frame-level switching parameters in the obser10 vation equation and with segment-level switching parameters in the target-d...
Jeff Z. Ma, Li Deng
UAI
2000
13 years 9 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
KI
2009
Springer
14 years 2 months ago
Variational Bayes for Generic Topic Models
The article contributes a derivation of variational Bayes for a large class of topic models by generalising from the well-known model of latent Dirichcation. For an abstraction of ...
Gregor Heinrich, Michael Goesele
ICPR
2002
IEEE
14 years 9 months ago
Probabilistic Models for Generating, Modelling and Matching Image Categories
In this paper we present a probabilistic and continuous framework for supervised image category modelling and matching as well as unsupervised clustering of image space into image...
Hayit Greenspan, Shiri Gordon, Jacob Goldberger