Emotion and Meaning in Music, 1956. ,
DOI : 10.7208/chicago/9780226521374.001.0001
Internal Models and Anticipations in Adaptive Learning Systems, Anticipatory Behavior in Adaptive Learning Systems, pp.86-109, 2003. ,
DOI : 10.1007/978-3-540-45002-3_6
Sweet Anticipation: Music and the Psychology of Expectation, 2006. ,
Statistical learning of tonal sequences by human infants and adults. cognition, Cognition, pp.27-52, 1999. ,
Neural Darwinism: The Theory of Neuronal Group Selection, Basic Books, 1987. ,
Music and Memory: An Introduction, 2000. ,
Experimental Music: Composition with an Electronic Computer, 1959. ,
Formalized Music, 1971. ,
Using machine-learning methods for musical style modeling, Computer, vol.36, issue.10, pp.73-80, 2003. ,
DOI : 10.1109/MC.2003.1236474
Using Factor Oracles for Machine Improvisation, Soft Computing, vol.8, issue.9, pp.604-610, 2004. ,
DOI : 10.1007/s00500-004-0385-4
URL : https://hal.archives-ouvertes.fr/hal-01161221
The Continuator: Musical Interaction With Style, Proc. of International Computer Music Conference, 2002. ,
DOI : 10.1076/jnmr.32.3.333.16861
Multiple viewpoint systems for music prediction, Journal of New Music Research, pp.51-73, 1995. ,
DOI : 10.2307/3680523
Mixed memory markov models: Decomposing complex stochastic processes as mixtures of simpler ones, Machine Learning, pp.75-87, 1999. ,
Music generation from statistical models, Proceedings of Symposium on AI and Creativity in the Arts and Sciences, pp.30-35, 2003. ,
Compression of individual sequences via variable-rate coding, IEEE Transactions on Information Theory, vol.24, issue.5, pp.530-536, 1978. ,
DOI : 10.1109/TIT.1978.1055934
Universal prediction of individual sequences, IEEE Transactions on Information Theory, vol.38, issue.4, pp.1258-1270, 1992. ,
DOI : 10.1109/18.144706
Universal classification applied to musical sequences, Proc. of ICMC, pp.322-340, 1998. ,
URL : https://hal.archives-ouvertes.fr/hal-01161365
The power of amnesia: Learning probabilistic automata with variable memory length, Machine Learning, pp.117-149, 1996. ,
DOI : 10.1007/BF00114008
Factor Oracle: A New Structure for Pattern Matching, Proc. of Conference on Current Trends in Theory and Practice of Informatics, pp.295-310, 1999. ,
DOI : 10.1007/3-540-47849-3_18
URL : https://hal.archives-ouvertes.fr/hal-00619846
GenJam in Perspective: A Tentative Taxonomy for GA Music and Art Systems, Leonardo, vol.36, issue.1, pp.43-45, 2003. ,
DOI : 10.1162/002409403321152293
Predicting reinforcement of pitch sequences via lstm and td, Proc. of International Computer Music Conference, 2004. ,
Methods for Combining Statistical Models of Music, Computer Music Modelling and Retrieval, pp.295-312, 2004. ,
DOI : 10.1007/978-3-540-31807-1_22
Anticipatory Systems,v o l u m e1o fIFSR International Series on Systems Science and Engineering, 1985. ,
A Framework for Preventive State Anticipation, Anticipatory Behavior in Adaptive Learning Systems, pp.151-166, 2003. ,
DOI : 10.1007/978-3-540-45002-3_9
Spectral Anticipations, Computer Music Journal, vol.13, issue.2, 2006. ,
DOI : 10.1038/nn831
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.91.9074
Reinforcement Learning: An Introduction, 1998. ,
Computing repeated factors with a factor oracle, Proc. of the Australasian Workshop On Combinatorial Algorithms ,
Competitive-cooperative-concurrent reinforcement learning with importance sampling, Proc. of International Conference on Simulation of Adaptive Behavior: From Animals and Animats, pp.287-296, 2004. ,
Prioritized sweeping: Reinforcement learning with less data and less time, Machine Learning, pp.103-130, 1993. ,
DOI : 10.1007/BF00993104
Linear time universal coding and time reversal of tree sources via fsm closure. Information Theory, IEEE Transactions on, vol.50, issue.7, pp.1442-1468, 2004. ,