A machine learning approach to two-voice counterpoint composition

2007-04-01
Adiloglu, Kamil
Alpaslan, Ferda Nur
Show full item record
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
46
views
0
downloads
Algorithmic composition of musical pieces is one of the most popular areas of computer aided music research. Various attempts have been made successfully in the area of music composition. Artificial intelligence methods have been extensively applied in this area. Representation of musical pieces in a computer-understand able form plays an important role in computer aided music research.
Software, Information Systems and Management, Management Information Systems, Artificial Intelligence
https://hdl.handle.net/11511/40033
KNOWLEDGE-BASED SYSTEMS
Department of Computer Engineering, Article

Suggestions

A fuzzy Petri net model for intelligent databases
Bostan-Korpeoglu, Burcin; Yazıcı, Adnan (Elsevier BV, 2007-08-01)
Knowledge intensive applications require an intelligent environment, which can perform deductions in response to user queries or events that occur inside or outside of the applications. For that, we propose a fuzzy Petri net (FPN) model to represent knowledge and the behavior of an intelligent object-oriented database environment, which integrates fuzzy, active and deductive rules with database objects. The behavior of a system can be unpredictable due to the rules triggering or untriggering each other (non...
A study on enterprise resource planning systems and embedding them into the company processes
Gencel, Orhan; Şen, Tayyar; Department of Information Systems (2003)
In this thesis, implementations of Enterprise Resource Planning Systems are studied with a broader view. Pre-implementation preparations and post-implementation developments play key roles in the success of the ERP utilization of the companies. To find out how the success can be achieved, various concepts in ERP implementation are analyzed. Using analogies with the basic software development models, common application methodologies are studied. The study is completed with the analysis of an interesting and ...
A FUZZY CONCEPTUAL MODEL FOR MULTIMEDIA DATA WITH A TEXT-BASED AUTOMATIC ANNOTATION SCHEME
Kucuk, Dilek; Burcuozgur, N.; Yazıcı, Adnan; KOYUNCU, Murat (World Scientific Pub Co Pte Lt, 2009-08-01)
The size of multimedia data is increasing fast due to the abundance of multimedia applications. Modeling the semantics of the data effectively is crucial for proper management of it. In this paper, we present a fuzzy conceptual data model for multimedia data which is also generic in the sense that it can be adapted to all multimedia domains. The model takes an object-oriented approach and it handles fuzziness at different representation levels where fuzziness is inherent in multimedia applications and shoul...
A pattern classification approach for boosting with genetic algorithms
Yalabık, Ismet; Yarman Vural, Fatoş Tunay; Üçoluk, Göktürk; Şehitoğlu, Onur Tolga (2007-11-09)
Ensemble learning is a multiple-classifier machine learning approach which produces collections and ensembles statistical classifiers to build up more accurate classifier than the individual classifiers. Bagging, boosting and voting methods are the basic examples of ensemble learning. In this study, a novel boosting technique targeting to solve partial problems of AdaBoost, a well-known boosting algorithm, is proposed. The proposed system finds an elegant way of boosting a bunch of classifiers successively ...
A monolithic approach to automated composition of semantic web services with the Event Calculus
Okutan, Cagla; Çiçekli, Fehime Nihan (Elsevier BV, 2010-07-01)
In this paper, a web service composition and execution framework is presented for semantically -annotated web services. A monolithic approach to automated web service composition and execution problem is chosen, which provides some benefits by separating composition and execution phases. An AI planning method using a logical formalism, namely Abductive Event Calculus, is chosen for the composition phase. This formalism allows one to generate a narrative of actions and temporal orderings using abductive plan...
Citation Formats
K. Adiloglu and F. N. Alpaslan, “A machine learning approach to two-voice counterpoint composition,” KNOWLEDGE-BASED SYSTEMS, pp. 300–309, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/40033.
METU IIS - Integrated Information Service open@metu.edu.tr