Projekter pr. år
Projektdetaljer
Beskrivelse
This project is about learning graphical models from data. Besides the general
problem of learning a model, the group focuses on learning models for
two particular subtasks within this domain, namely data clustering and data classification.
In data clustering we are given data in the form of a set of instances
with an (unknown) underlying group-structure, and the task is then to find the best
description of this group-structure according to a certain criterion. Among the different
definitions, interpretations, and expectations that the term data clustering
gives rise to, we focus on a probabilistic or model-based approach to data clustering
rather than on a partitional approach. In the related field of data classification,
we have information about the group structure for a set of instances, and the task
is then to learn a model for predicting the group membership for future instances.
problem of learning a model, the group focuses on learning models for
two particular subtasks within this domain, namely data clustering and data classification.
In data clustering we are given data in the form of a set of instances
with an (unknown) underlying group-structure, and the task is then to find the best
description of this group-structure according to a certain criterion. Among the different
definitions, interpretations, and expectations that the term data clustering
gives rise to, we focus on a probabilistic or model-based approach to data clustering
rather than on a partitional approach. In the related field of data classification,
we have information about the group structure for a set of instances, and the task
is then to learn a model for predicting the group membership for future instances.
Status | Igangværende |
---|---|
Effektiv start/slut dato | 19/05/2010 → … |
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Projekter
- 1 Igangværende
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Probabilistic Decision Graphs
Jaeger, M. (Projektdeltager) & Nielsen, J. D. (Projektdeltager)
19/05/2010 → …
Projekter: Projekt › Forskning