60 search results - page 10 / 12 » Evolutionary Learning of Dynamic Naive Bayesian Classifiers |
89
Voted
SDM
2007
SIAM
14 years 11 months ago
2007
SIAM
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
120
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IWCLS
2007
Springer
15 years 3 months ago
2007
Springer
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
95
Voted
CVPR
1999
IEEE
15 years 11 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
85
Voted
CIVR
2003
Springer
15 years 2 months ago
2003
Springer
The most expressive way humans display emotions is through facial expressions. In this work we report on several advances we have made in building a system for classification of f...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...