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AAAI
2007
15 years 9 days ago
Autonomous Development of a Grounded Object Ontology by a Learning Robot
We describe how a physical robot can learn about objects from its own autonomous experience in the continuous world. The robot identifies statistical regularities that allow it t...
Joseph Modayil, Benjamin Kuipers
KDD
2004
ACM
237views Data Mining» more  KDD 2004»
15 years 10 months ago
Bayesian Model-Averaging in Unsupervised Learning From Microarray Data
Unsupervised identification of patterns in microarray data has been a productive approach to uncovering relationships between genes and the biological process in which they are in...
Mario Medvedovic, Junhai Guo
AVSS
2007
IEEE
15 years 4 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
MCS
2010
Springer
15 years 4 months ago
Estimation of the Number of Clusters Using Multiple Clustering Validity Indices
One of the challenges in unsupervised machine learning is finding the number of clusters in a dataset. Clustering Validity Indices (CVI) are popular tools used to address this pro...
Krzysztof Kryszczuk, Paul Hurley
JMLR
2002
73views more  JMLR 2002»
14 years 9 months ago
Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
We apply a variational method to automatically determine the number of mixtures of independent components in high-dimensional datasets, in which the sources may be nonsymmetricall...
Kwokleung Chan, Te-Won Lee, Terrence J. Sejnowski