References

Aarst, E. H. L., and J. Korst, 1989, Simulated Annealing and Boltzmann Machines (Chichester: John Wiley & Sons).

Abati, D., A. Porrello, S. Calderara and R. Cucchiara, 2019, “Latent Space Autoregression for Novelty Detection”, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 481–90 (Piscataway, NJ: IEEE Press).

Abdi, J., and B. Moshiri, 2015, “Application of Temporal Difference Learning Rules in Short-Term Traffic Flow Prediction”, Expert Systems 32(1), pp. 49–64.

Abernethy, J., Y. Chen and J. W. Vaughan, 2012, “Efficient Market Making via Convex Optimization, and a Connection to Online Learning”, Working Paper, University of California, Berkeley, CA.

Abry, P., R. Baraniuk, P. Flandrin, R. Riedi and D. Veitch, 2002, “Multiscale Nature of Network Traffic”, IEEE Signal Processing Magazine 19(3), pp. 28–46.

Abry, P., P. Flandrin, M. S. Taqqu and D. Veitch, 2000, “Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data”, in K. Park and W. Willinger (eds), Self-similar Network Traffic and Performance Evaluation, pp. 39–87 (Chichester: John Wiley & Sons).

Abry, P., P. Goncalves and P. Flandrin, 1993, “Wavelet-Based Spectral Analysis of 1/f