Developmental Evaluation in Genetic Programming: The Preliminary Results

2006 ◽  
pp. 280-289 ◽  
Author(s):  
Robert Ian (Bob) McKay ◽  
Tuan Hao Hoang ◽  
Daryl Leslie Essam ◽  
Xuan Hoai Nguyen
Keyword(s):  
Genetic Programming ◽  
Developmental Evaluation ◽  
Preliminary Results

scholarly journals Developmental Evaluation of Infants Treated with Ecmo during Their Newborn Period: Preliminary Results of a Single Center

2018 ◽  
Author(s):  
E. Bahar BİNGÖLER PEKCİCİ ◽  
Emel OKULU ◽  
Ezgi ÖZALP AKIN ◽  
Funda AKPINAR ◽  
Ömer ERDEVE ◽  
...  
Keyword(s):  
Developmental Evaluation ◽  
Single Center ◽  
Newborn Period ◽  
Preliminary Results

scholarly journals Machine learning of symbolic compositional rules with genetic programming: Dissonance treatment in Palestrina

2019 ◽  
Author(s):  
Torsten Anders ◽  
Benjamin Inden
Keyword(s):  
Machine Learning ◽  
Pilot Study ◽  
Genetic Programming ◽  
Algorithmic Composition ◽  
Machine Learning Technique ◽  
Preliminary Results ◽  
Dbscan Algorithm ◽  
Learning Technique

We describe a method to automatically extract symbolic compositional rules from music corpora that can be combined with each other and manually programmed rules for algorithmic composition, and some preliminary results of applying that method. As machine learning technique we chose genetic programming, because it is capable of learning formula consisting of both logic and numeric relations. Genetic programming was never used for this purpose to our knowledge. We therefore investigate a well understood case in this pilot study: the dissonance treatment in Palestrina’s music. We label dissonances with a custom algorithm, automatically cluster melodic fragments with labelled dissonances into different dissonance categories (passing tone, suspension etc.) with the DBSCAN algorithm, and then learn rules describing the dissonance treatment of each category with genetic programming. As positive examples we use dissonances from a given category. As negative examples we us all other dissonances; melodic fragments without dissonances; purely random melodic fragments; and slight random transformations of positive examples. Learnt rules circumstantiate melodic features of the dissonance categories very well, though some resulting best rules allow for minor deviations compared with positive examples (e.g., allowing the dissonance category suspension to occur also on shorter notes).

Developmental evaluation in Genetic Programming: The TAG-based frame work

2008 ◽  
Vol 12 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Tuan-Hao Hoang ◽  
Daryl Essam ◽  
McKay RI (Bob) ◽  
Nguyen Xuan Hoai
Keyword(s):  
Genetic Programming ◽  
Developmental Evaluation ◽  
Frame Work

scholarly journals Machine learning of symbolic compositional rules with genetic programming: Dissonance treatment in Palestrina

2019 ◽  
Author(s):  
Torsten Anders ◽  
Benjamin Inden
Keyword(s):  
Machine Learning ◽  
Pilot Study ◽  
Genetic Programming ◽  
Algorithmic Composition ◽  
Machine Learning Technique ◽  
Preliminary Results ◽  
Dbscan Algorithm ◽  
Learning Technique

We describe a method to automatically extract symbolic compositional rules from music corpora that can be combined with each other and manually programmed rules for algorithmic composition, and some preliminary results of applying that method. As machine learning technique we chose genetic programming, because it is capable of learning formula consisting of both logic and numeric relations. Genetic programming was never used for this purpose to our knowledge. We therefore investigate a well understood case in this pilot study: the dissonance treatment in Palestrina’s music. We label dissonances with a custom algorithm, automatically cluster melodic fragments with labelled dissonances into different dissonance categories (passing tone, suspension etc.) with the DBSCAN algorithm, and then learn rules describing the dissonance treatment of each category with genetic programming. As positive examples we use dissonances from a given category. As negative examples we us all other dissonances; melodic fragments without dissonances; purely random melodic fragments; and slight random transformations of positive examples. Learnt rules circumstantiate melodic features of the dissonance categories very well, though some resulting best rules allow for minor deviations compared with positive examples (e.g., allowing the dissonance category suspension to occur also on shorter notes).

The O–C diagrams of minor planets − a new approach to modelling the rotation

1999 ◽  
Vol 173 ◽  
pp. 185-188
Author(s):  
Gy. Szabó ◽  
K. Sárneczky ◽  
L.L. Kiss
Keyword(s):  
Error Analysis ◽  
Time Dependence ◽  
Theoretical Work ◽  
Minor Planet ◽  
Minor Planets ◽  
New Approach ◽  
Preliminary Results ◽  
Ccd Observations

AbstractA widely used tool in studying quasi-monoperiodic processes is the O–C diagram. This paper deals with the application of this diagram in minor planet studies. The main difference between our approach and the classical O–C diagram is that we transform the epoch (=time) dependence into the geocentric longitude domain. We outline a rotation modelling using this modified O–C and illustrate the abilities with detailed error analysis. The primary assumption, that the monotonity and the shape of this diagram is (almost) independent of the geometry of the asteroids is discussed and tested. The monotonity enables an unambiguous distinction between the prograde and retrograde rotation, thus the four-fold (or in some cases the two-fold) ambiguities can be avoided. This turned out to be the main advantage of the O–C examination. As an extension to the theoretical work, we present some preliminary results on 1727 Mette based on new CCD observations.

Cyclic Evolution of Sunspots: Gleaning New Results from Old Data

2000 ◽  
Vol 179 ◽  
pp. 163-165
Author(s):  
S. K. Solanki ◽  
M. Fligge ◽  
P. Pulkkinen ◽  
P. Hoyng
Keyword(s):  
Sunspot Number ◽  
Sunspot Cycle ◽  
Preliminary Results ◽  
Butterfly Diagram

AbstractThe records of sunspot number, sunspot areas and sunspot locations gathered over the centuries by various observatories are reanalysed with the aim of finding as yet undiscovered connections between the different parameters of the sunspot cycle and the butterfly diagram. Preliminary results of such interrelationships are presented.

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