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AGENTS
2000
Springer
13 years 11 months ago
Unsupervised clustering of robot activities: a Bayesian approach
Our goal is for robots to learn conceptual systems su cient for natural language and planning. The learning should be autonomous, without supervision. The rst steps in building a ...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
IWPC
2000
IEEE
13 years 11 months ago
A Framework for Experimental Evaluation of Clustering Techniques
Experimental evaluation of clustering techniques for component recovery is necessary in order to analyze their strengths and weaknesses in comparison to other techniques. For comp...
Rainer Koschke, Thomas Eisenbarth
AAAI
2000
13 years 8 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
IPPS
2000
IEEE
13 years 11 months ago
ClusterNet: An Object-Oriented Cluster Network
Abstract. Parallel processing is based on utilizing a group of processors to efficiently solve large problems faster than is possible on a single processor. To accomplish this, the...
Raymond Hoare
HT
2000
ACM
13 years 11 months ago
Clustering hypertext with applications to web searching
Clustering separates unrelated documents and groups related documents, and is useful for discrimination, disambiguation, summarization, organization, and navigation of unstructure...
Dharmendra S. Modha, W. Scott Spangler