Discovering Simple Rules in Complex Data: A Meta-Learning Algorithm and Some Surprising Musical Discoveries (2001)

Cached

Download Links

by Gerhard Widmer
Venue:ARTIFICIAL INTELLIGENCE
Citations:28 - 8 self

Documents Related by Co-Citation

39 AI and music, from composition to expressive performance – - 2002
63 Diversity and Commonality in Music Performance: an Analysis of Timing Microstructure in Schumann’s ‘Traumerei – - 1992
64 The Dynamics of Dynamics: A Model of Musical Expression – - 1992
31 Using string kernels to identify famous performers from their playing style – - 2004
17 The Performance Worm: Real Time Visualisation of Expression based on Langner's Tempo-Loudness Animation – - 2002
35 Machine Discoveries: A Few Simple, Robust Local Expression Principles – - 2001
157 Automatic Extraction of Tempo and Beat from Expressive Performances – - 2001
521 A Generative Theory of Tonal Music – - 1983
38 Computational models of expressive music performance: The state of the art – - 2004
6 Automatic Recognition of Famous Artists by Machine – - 2004
1057 Learning Stochastic Logic Programs – - 2000
149 The Analysis and Cognition of Basic Melodic Structures:The Implication Realization Model – - 1990
1169 Error Bounds for Convolutional Codes and an Asymptotically Optimum Decoding Algorithm
11 Exploring expressive performance trajectories: Six famous pianists play six Chopin pieces – - 2004
22 Music Performance – - 1999
16 A computational model of rubato – - 1989
22 Playing Mozart by Analogy: Learning Multi-Level Timing and Dynamics Strategies – - 2002
15 A graphical model for chord progressions embedded in a psychoacoustic space – - 2005
39 Rhythm and timing in music – - 1999