-
1
-
-
84899015857
-
Reinforcement learning with long short-term memory
-
eds. Dietterich, T.G., Becker, S. and Ghahramani, Z., Cambridge, MA: MIT Press
-
Bakker, B., 2002, Reinforcement Learning with Long Short-Term Memory, Advances in Neural Information Processing Systems, 14, eds. Dietterich, T.G., Becker, S. and Ghahramani, Z., Cambridge, MA: MIT Press.
-
(2002)
Advances in Neural Information Processing Systems
, vol.14
-
-
Bakker, B.1
-
2
-
-
10044288087
-
-
Delevan, NY: Kendor Music, Inc.
-
Berg, S., 1990, Jazz Improvisation: the Goal-Note Method, Second Ed., Delevan, NY: Kendor Music, Inc.
-
(1990)
Jazz Improvisation: The Goal-note Method, Second Ed.
-
-
Berg, S.1
-
4
-
-
84902197186
-
Learning the long-term structure of the blues
-
Eck, D. and Schmidhuber, J., 2002, Learning the Long-Term Structure of the Blues. ICANN 2002, 284-289
-
(2002)
ICANN 2002
, pp. 284-289
-
-
Eck, D.1
Schmidhuber, J.2
-
6
-
-
10044280156
-
Learning and improvisation
-
eds. Dietterich, T. G., Becker, S., & Ghahramani, Z. Cambridge, MA: MIT Press
-
Franklin, J. A., 2001, Learning and Improvisation, Neural Information Processing Systems 14, eds. Dietterich, T. G., Becker, S., & Ghahramani, Z. Cambridge, MA: MIT Press.
-
(2001)
Neural Information Processing Systems
, vol.14
-
-
Franklin, J.A.1
-
7
-
-
0034293152
-
Learning to forget: Continual prediction with LSTM
-
Gers, F. A., Schmidhuber, J. and Cummins, F., 2000, Learning to Forget: Continual Prediction with LSTM. Neural Computation 12(10): 2451-2471.
-
(2000)
Neural Computation
, vol.12
, Issue.10
, pp. 2451-2471
-
-
Gers, F.A.1
Schmidhuber, J.2
Cummins, F.3
-
8
-
-
0038973940
-
-
Cambridge, MA: MIT Press
-
Griffith, N. G., and Todd, P.M., 1999, Musical Networks: Parallel Distributed Perception and Performance, Cambridge, MA: MIT Press.
-
(1999)
Musical Networks: Parallel Distributed Perception and Performance
-
-
Griffith, N.G.1
Todd, P.M.2
-
9
-
-
0031573117
-
Long short-term memory
-
Hochreiter, S. and Schmidhuber, J., 1997, Long Short-Term Memory, Neural Computation, 9(8): 1735-1780.
-
(1997)
Neural Computation
, vol.9
, Issue.8
, pp. 1735-1780
-
-
Hochreiter, S.1
Schmidhuber, J.2
-
11
-
-
0002338623
-
The representation of pitch in a neural net model of chord classification
-
eds. Todd, P. M. and Loy, E. D. Cambridge, MA: MIT Press
-
Laden, B., and Keefe, D. H., 1991, The Representation of Pitch in a Neural Net Model of Chord Classification. Music and Connectionism, eds. Todd, P. M. and Loy, E. D. Cambridge, MA: MIT Press.
-
(1991)
Music and Connectionism
-
-
Laden, B.1
Keefe, D.H.2
-
12
-
-
21844527162
-
Neural network music composition by prediction: Exploring the benefits of psychophysical constraints and multiscale processing
-
Mozer, M. C., 1994, Neural Network Music Composition by Prediction: Exploring the Benefits of Psychophysical Constraints and Multiscale Processing. Connection Science, 6, 247-280.
-
(1994)
Connection Science
, vol.6
, pp. 247-280
-
-
Mozer, M.C.1
-
13
-
-
0000646059
-
Learning internal representations by error propagation
-
eds. Rumelhart, D. et al, Cambridge, MA: MIT Press, 1986
-
Rumelhart, D., Hinton, G., and Williams, R., 1986, Learning Internal Representations by Error Propagation, Parallel Distributed Processing 1, eds. Rumelhart, D. et al, Cambridge, MA: MIT Press, pp. 318-362, 1986.
-
(1986)
Parallel Distributed Processing
, vol.1
, pp. 318-362
-
-
Rumelhart, D.1
Hinton, G.2
Williams, R.3
-
14
-
-
0004056879
-
-
Cambridge, MA: MIT Press
-
Todd, P. M., and Loy, E. D., 1991, Music and Connectionism, Cambridge, MA: MIT Press.
-
(1991)
Music and Connectionism
-
-
Todd, P.M.1
Loy, E.D.2
-
15
-
-
0002244143
-
A connectionist approach to algorithmic composition
-
eds. Todd, P.M. and Loy, E. D., Cambridge, MA, MIT Press
-
Todd, P. M., 1991, A Connectionist Approach to Algorithmic Composition, Music and Connectionism, eds. Todd, P.M. and Loy, E. D., Cambridge, MA, MIT Press.
-
(1991)
Music and Connectionism
-
-
Todd, P.M.1
-
16
-
-
0000903748
-
Generalisation of backpropagation with application to a recurrent gas market model
-
Werbos, P. J., 1988, Generalisation of Backpropagation with Application to a Recurrent Gas Market Model, Neural Networks, 1:339-356.
-
(1988)
Neural Networks
, vol.1
, pp. 339-356
-
-
Werbos, P.J.1
-
17
-
-
0001609567
-
An efficient gradient-based algorithm for on-line training of recurrent network trajectories
-
Williams, R. J., and Peng, J., 1990, An Efficient Gradient-based Algorithm for On-line Training of Recurrent Network Trajectories, Neural Computation, 2(4): 490-501.
-
(1990)
Neural Computation
, vol.2
, Issue.4
, pp. 490-501
-
-
Williams, R.J.1
Peng, J.2
-
18
-
-
0004162267
-
A learning algorithm for continually running fully recurrent networks
-
Univ of Calif., San Diego, La Jolla
-
Williams, R. J. and Zipser, D., 1988, A learning algorithm for continually running fully recurrent networks. Tech Report ICS-8805, Univ of Calif., San Diego, La Jolla.
-
(1988)
Tech Report
, vol.ICS-8805
-
-
Williams, R.J.1
Zipser, D.2
|