Extracting patterns in music for composition via Markov chains

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3029, Issue , 2004, Pages 1123-1132

  Verbeurgt, Karsten ^a   Dinolfo, Michael ^a   Fayer, Mikhail ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

Data Mining; Intelligent Systems; Machine Learning

Indexed keywords

ALGORITHMS; LEARNING SYSTEMS; MARKOV PROCESSES; NEURAL NETWORKS; PROBABILITY; ARTIFICIAL INTELLIGENCE; CHAINS; DATA MINING; EXPERT SYSTEMS; INTELLIGENT SYSTEMS; PATTERN MATCHING;

INTELLIGENT SYSTEMS; MUSIC COMPOSITION; MUSICAL SEQUENCES; ALGORITHMIC MUSIC COMPOSITIONS; CLASSICAL MUSICS; NEW APPROACHES; PATTERN EXTRACTION; THREE DIMENSIONS; TRAINING SEQUENCES; TRANSITION PROBABILITIES;

PATTERN RECOGNITION; MARKOV PROCESSES;

EID: 9444227664     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-24677-0_115     Document Type: Conference Paper

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