Difference between revisions of "2018:Patterns for Prediction Results"
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For a more detailed introduction to the task, please see [[2018:Patterns for Prediction]]. | For a more detailed introduction to the task, please see [[2018:Patterns for Prediction]]. | ||
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| + | There were no submissions to the audMono or audPoly variants of the task this year. | ||
Revision as of 09:17, 18 September 2018
Contents
Introduction
THIS PAGE IS UNDER CONSTRUCTION!
The task: ...
Contribution
...
For a more detailed introduction to the task, please see 2018:Patterns for Prediction.
Datasets and Algorithms
...
There were no submissions to the audMono or audPoly variants of the task this year.
| Sub code | Submission name | Abstract | Contributors |
|---|---|---|---|
| Task Version | symMono | ||
| EN1 | Algo name here | Eric Nichols | |
| FC1 | Algo name here | Florian Colombo | |
| MM | Markov model | N/A | Intended as 'baseline' |
| Task Version | symPoly | ||
| FC1 | Algo name here | Florian Colombo | |
| MM | Markov model | N/A | Intended as 'baseline' |
Table 1. Algorithms submitted to Patterns for Prediction 2018.
Results
An intro spiel here...
(For mathematical definitions of the various metrics, please see 2018:Patterns_for_Prediction#Evaluation_Procedure.)
SymMono
Here are some results (cf. Figures 1-3), and some interpretation. Don't forget these as well (Figures 4-6), showing something.
Remarks on runtime appropriate here too.
SymPoly
And so on.
Discussion
...
Berit Janssen, Iris Ren, Tom Collins.
Figures
SymMono
Figure 1. Establishment recall averaged over each piece/movement. Establishment recall answers the following question. On average, how similar is the most similar algorithm-output pattern to a ground-truth pattern prototype?
Figure 2. Establishment precision averaged over each piece/movement. Establishment precision answers the following question. On average, how similar is the most similar ground-truth pattern prototype to an algorithm-output pattern?
SymPoly
Figure 12. Establishment recall averaged over each piece/movement. Establishment recall answers the following question. On average, how similar is the most similar algorithm-output pattern to a ground-truth pattern prototype?
Figure 13. Establishment precision averaged over each piece/movement. Establishment precision answers the following question. On average, how similar is the most similar ground-truth pattern prototype to an algorithm-output pattern?
Tables
SymMono
Click to download SymMono pattern retrieval results table
Click to download SymMono compression results table
