Tech Reports
Tech Report kmi-99-03 Abstract
Bayesian Clustering of Sensory Inputs by Dynamics
Techreport ID: kmi-99-03
Date: 1999
Author(s): Paola Sebastiani, Marco Ramoni and Paul Cohen
This paper introduces a Bayesian method for unsupervised clustering of dynamic processes and applies it to the abstraction of sensory inputs of a mobile robot. The method starts by transforming the sensory inputs into Markov chains and then applies an agglomerative clustering procedure to discover the most probable set of clusters capturing the robot's experiences. To increase efficiency, the method uses an entropy-based heuristic search strategy. 1. Department of Statistics, The Open University. 2. Knowledge Media Institute, The Open University. 3. Department of Computer Science, University of Massachusetts at Amherst.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Narrative Hypermedia is...
Hypermedia is the combination of hypertext for linking and structuring multimedia information.
Narrative Hypermedia is therefore concerned with how all of the above narrative forms, plus the many other diverse forms of discourse possible on the Web, can be effectively designed to communicate coherent conceptual structures, drawing inspiration from theories in narratology, semiotics, psycholinguistics and film.
List all Narrative Hypermedia Projects
Check out these Hot Narrative Hypermedia Technologies:
List all Narrative Hypermedia Technologies
