Pattern Recognition and Machine Learning

REFERENCES 721 Advances in Neural Information Processing Sys- tems, Volume 2, pp. 598–605. Morgan Kauf- mann. LeCun, Y., L. Bott ...

722 REFERENCES McCullagh, P. and J. A. Nelder (1989).Generalized Linear Models(Second ed.). Chapman and Hall. McCulloch, W. S. a ...

REFERENCES 723 Nag, R., K. Wong, and F. Fallside (1986). Script recognition using hidden markov models. In ICASSP86, pp. 2071–20 ...

724 REFERENCES Platt, J. C. (2000). Probabilities for SV machines. In A. J. Smola, P. L. Bartlett, B. Scholkopf, and ̈ D. Shuurm ...

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726 REFERENCES C. L. Giles (Eds.),Advances in Neural Informa- tion Processing Systems, Volume 5, pp. 50–58. Morgan Kaufmann. Sim ...

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INDEX 729 Index Page numbers inboldindicate the primary source of information for the corresponding topic. 1 -of-Kcoding scheme, ...

730 INDEX biological sequence, 610 bipartite graph, 401 bits, 49 blind source separation, 591 blocked path, 374, 378 , 384 Boltz ...

INDEX 731 density network, 597 dependency map, 392 descendant node, 376 design matrix, 142 , 347 differential entropy, 53 digamm ...

732 INDEX gamma densitometry, 678 gamma distribution, 529, 688 gamma function, 71 gating function, 672 Gauss, Carl Friedrich, 79 ...

INDEX 733 Hooke’s law, 580 hybrid Monte Carlo, 548 hyperparameter, 71 , 280, 311, 346, 372, 502 hyperprior, 372 I map,seeindepen ...

734 INDEX lattice diagram, 414 , 611, 621, 629 LDS,seelinear dynamical system leapfrog discretization, 551 learning, 2 learning ...

INDEX 735 microstate, 51 minimum risk, 44 Minkowski loss, 48 missing at random, 441 , 579 missing data, 579 mixing coefficient, ...

736 INDEX periodic variable, 105 phase space, 549 photon noise, 680 plate, 363 polynomial curve fitting, 4, 362 polytree, 399 po ...

INDEX 737 scale parameter, 119 scaling factor, 627 Schwarz criterion,seeBayesian information crite- rion self-organizing map, 59 ...

738 INDEX trellis diagram,seelattice diagram triangulated graph, 416 type 2 maximum likelihood,seeevidence approxi- mation undet ...