filippone's library 281 articles Export

	Inferring parameters and structure of latent variable models by variational Bayes [My Copy] In Proc. 15th Conf. on Uncertainty in Artificial Intelligence, Vol. 2, No. 1. (1999) by H. Attias posted to bayesian by filippone on 2009-11-06 14:29:32 as
	A Bayesian model for local smoothing in kernel density estimation [My Copy] Statistics and Computing, Vol. 10, No. 4. (2000), pp. 299-309. by Mark J. Brewer posted to density by filippone on 2009-11-06 09:00:23 as
	Gaussian processes for classification: Mean-field algorithms [My Copy] Neural Computation, Vol. 12, No. 11. (2000), pp. 2655-2684. by M. Opper, O. Winther posted to gaussian-processes by filippone on 2009-11-05 12:26:53 as
	Exact mean integrated squared error [My Copy] The Annals of Statistics, Vol. 20, No. 2. (1992), pp. 712-736. by J. S. Marron, M. P. Wand posted to density by filippone on 2009-11-04 16:13:19 as
	Cross-validation bandwidth matrices for multivariate kernel density estimation [My Copy] Scandinavian Journal of Statistics Theory and Applications, Vol. 32, No. 3. (2005) by T. Duong, M. L. Hazelton posted to density by filippone on 2009-11-04 14:21:51 as
	A Bayesian approach to bandwidth selection for multivariate kernel density estimation [My Copy] Computational Statistics and Data Analysis, Vol. 50, No. 11. (2006), pp. 3009-3031. by X. Zhang, M. L. King, R. J. Hyndman posted to bayesian by filippone on 2009-11-04 14:20:26 as
	Tutorial on Variational Approximation Methods [My Copy] Advanced Mean Field Methods: Theory and Practice (2000), pp. 129-159. by T. S. Jaakkola posted to bayesian by filippone on 2009-10-20 10:51:27 as
	Expectation Propagation for Approximate Bayesian Inference [My Copy] In Uncertainty in artificial intelligence: proceedings of the seventeenth conference (2001), August 2-5, 2001, University of Washington, Seattle, Washington (2001) by T. P. Minka posted to bayesian by filippone on 2009-10-20 10:47:21 as
	Bandwidth selection for kernel density estimation [My Copy] The Annals of Statistics, Vol. 19, No. 4. (1991), pp. 1883-1905. by S. T. Chiu posted to density by filippone on 2009-10-20 09:40:00 as
	The maximal smoothing principle in density estimation [My Copy] Journal of the American Statistical Association, Vol. 85, No. 410. (1990), pp. 470-477. by G. R. Terrell posted to density by filippone on 2009-10-20 09:10:24 as
	Cross-validation in density estimation [My Copy] Biometrika, Vol. 69, No. 2. (1982), pp. 383-390. by P. Hall posted to density by filippone on 2009-10-20 09:00:06 as
	Bandwidth selection: classical or plug-in? [My Copy] The Annals of Statistics, Vol. 27, No. 2. (1999), pp. 415-438. by C. R. Loader posted to density by filippone on 2009-10-20 08:55:02 as
	A brief survey of bandwidth selection for density estimation. [My Copy] Journal of the American Statistical Association, Vol. 91, No. 433. (1996) by M. C. Jones, J. S. Marron, S. J. Sheather posted to density by filippone on 2009-10-20 08:47:20 as
	A reliable data-based bandwidth selection method for kernel density estimation [My Copy] Journal of the Royal Statistical Society. Series B (Methodological) (1991), pp. 683-690. by S. J. Sheather, M. C. Jones posted to density by filippone on 2009-10-20 08:44:33 as
	Comments on “a possibilistic approach to clustering” [My Copy] IEEE Transactions on Fuzzy Systems, Vol. 4, No. 3. (1996), pp. 393-396. by M. Barni, V. Cappellini, A. Mecocci posted to clustering by filippone on 2009-10-01 08:20:05 as
	LIBSVM: a Library for Support Vector Machines (Version 2.31) [My Copy] by Chih-Chung Chang, Chih-Jen Lin posted to classification by filippone on 2009-09-30 09:30:11 as along with 11 people and 1 group tlow shrikondra gyuli kaarsinogen grzegorz chad_davis craigtalbert zoop bundschu doubleshow vlachmore generif_paper
	Introduction to Time Series and Forecasting [My Copy] (08 March 2002) by Peter J. Brockwell, Richard A. Davis posted to timeseries by filippone on 2009-07-22 10:31:25 as along with 3 people and 1 group harald kashivishwanath helsley sysnet
	A new look at the statistical model identification [My Copy] IEEE Transactions on Automatic Control, Vol. 19, No. 6. (06 January 2003), pp. 716-723. by H. Akaike posted to statistics by filippone on 2009-07-20 15:56:14 as along with 17 people and 4 groups anitabanerji Borelli sbarthelme TLVincent bennett_tg fabiobayer gwenknight tvdbulck michaelbarton jford ppeeling tyler abrentnall cursonivel1 ntvandehey stefanoallesina durduran Forest inventory and monitoring QFRMC_ConsumerCredit cursonivel1 Wisconsin PET
	Variation in Lake Huron Levels and the Chicago Drainage Canal [My Copy] Geographical Review, Vol. 20, No. 1. (1930), pp. 133-137. by Mark Jefferson posted to novelty_detection by filippone on 2009-07-20 12:26:32 as
	Information Theoretic Novelty Detection [My Copy] Pattern Recognition by Maurizio Filippone, Guido Sanguinetti posted to novelty_detection by filippone on 2009-07-08 10:50:38 as
	A practical method for outlier detection in autoregressive time series modelling [My Copy] Stochastic Environmental Research and Risk Assessment (SERRA), Vol. 3, No. 4. (1989), pp. 241-260. by M. C. Hau, H. Tong posted to autoregressive by filippone on 2009-06-18 18:17:13 as
	On-line Novelty Detection Using the Kalman Filter and Extreme Value Theory [My Copy] In Pattern Recognition, 2008. ICPR 2008. 19th International Conference on (2008), pp. 1-4. by H. Lee, S. J. Roberts posted to novelty_detection by filippone on 2009-06-18 18:16:24 as
	Bayesian methods for autoregressive models [My Copy] In Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop, Vol. 1 (2000) by W. D. Penny, S. J. Roberts posted to autoregressive by filippone on 2009-06-18 18:15:30 as
	Variational Bayes for non-Gaussian autoregressive models [My Copy] In Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop, Vol. 1 (2000) by W. D. Penny, S. J. Roberts posted to autoregressive by filippone on 2009-06-18 18:14:35 as
	Outlier detection for stationary time series [My Copy] Journal of Statistical Planning and Inference, Vol. 99, No. 2. (2001), pp. 111-127. by K. Choy posted to novelty_detection by filippone on 2009-06-18 18:13:46 as
	Fully Bayesian analysis of ARMA time series models [My Copy] Journal of Econometrics, Vol. 21, No. 3. (1983), pp. 307-31. by J. F. Monahan posted to autoregressive by filippone on 2009-06-18 18:07:34 as
	Extreme value statistics for novelty detection in biomedical signalprocessing [My Copy] In Advances in Medical Signal and Information Processing, 2000. First International Conference on (IEE Conf. Publ. No. 476) (2000), pp. 166-172. by S. J. Roberts posted to novelty_detection by filippone on 2009-06-18 18:05:40 as
	Outlier detections in autoregressive models [My Copy] Journal of Computational and Graphical Statistics, Vol. 12, No. 2. (2003), pp. 450-471. by A. D. Mcquarrie, C. L. Tsai posted to autoregressive by filippone on 2009-06-18 16:55:41 as
	Detection of outlier patches in autoregressive time series [My Copy] Statistica Sinica, Vol. 11, No. 3. (2001), pp. 651-674. by A. Justel, D. Pena, R. S. Tsay posted to autoregressive by filippone on 2009-06-18 16:53:53 as
	Outlier detection in ARMA models [My Copy] Journal of Time Series Analysis, Vol. 29, No. 6. (November 2008), pp. 1057-1065. by Hamid Louni posted to autoregressive by filippone on 2009-06-18 16:48:45 as
	Adaptive autoregressive modeling of non-stationary vibration signals under distinct gear states. Part 1: modeling [My Copy] Journal of Sound and Vibration, Vol. 286, No. 3. (06 September 2005), pp. 429-450. by Y. Zhan, A. Jardine posted to autoregressive by filippone on 2009-06-18 16:46:55 as
	On finite sample theory for autoregressive model order selection [My Copy] IEEE Transactions on Signal Processing, Vol. 41, No. 1. (1993) by P. M. Broersen, H. E. Wensink posted to autoregressive by filippone on 2009-06-18 16:42:56 as
	Small sample statistics of the Yule-Walker method for autoregressive parameter estimation [My Copy] In 10th European Signal Processing Conference ({EUSIPCO}) (September 2000) by Wilbert Dijkhof, Wensink Einar posted to autoregressive by filippone on 2009-06-18 16:32:57 as
	Finding surprising patterns in a time series database in linear time and space [My Copy] In KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining (2002), pp. 550-556. by Eamonn Keogh, Stefano Lonardi, Bill posted to novelty_detection by filippone on 2009-06-17 22:53:30 as
	Novelty detection for short time series with neural networks [My Copy] (2003), pp. 66-75. by Andriano L. I. Oliveira, Fernando B. L. Neto, Silvio R. L. Meira posted to novelty_detection by filippone on 2009-06-17 22:52:23 as
	Novelty Detection in Time Series Data using Ideas from Immunology [My Copy] In In Proceedings of The International Conference on Intelligent Systems (1995) by Dipankar Dasgupta, Stephanie Forrest posted to novelty_detection by filippone on 2009-06-17 22:49:59 as
	Bayesian Online Changepoint Detection [My Copy] (2007) by Ryan P. Adams, David J. C. Mackay posted to file-import-09-06-17 by filippone on 2009-06-17 22:47:26 as
	Time-series novelty detection using one-class support vector machines [My Copy] Neural Networks, 2003. Proceedings of the International Joint Conference on, Vol. 3 (2003), pp. 1741-1745 vol.3. by J. Ma, S. Perkins posted to novelty_detection by filippone on 2009-06-17 22:43:36 as along with 1 person fabiomanzoni
	Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation [My Copy] In Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA (2009), pp. 389-400. by Yoshinobu Kawahara, Masashi Sugiyama posted to novelty_detection by filippone on 2009-06-17 22:40:24 as
	Parameterized Novelty Detectors for Environmental Sensor Monitoring [My Copy] In Advances in Neural Information Processing Systems 16 (2004) by Cynthia Archer, Todd K. Leen, Antonio Baptista edited by Sebastian Thrun, Lawrence Saul, Bernhard schölkopf posted to anomaly degradation detection estimation fault likelihood maximum novelty novelty_detection online sensor by filippone on 2009-06-17 22:36:40 as
	Online novelty detection on temporal sequences [My Copy] In KDD '03: Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining (2003), pp. 613-618. by Junshui Ma, Simon Perkins posted to novelty_detection by filippone on 2009-06-17 22:32:59 as
	Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models [My Copy] IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. In IEEE International Conference on Acoustics, Speech and Signal Processing, 2007. ICASSP 2007., Vol. 4 (2007), pp. IV-317-IV-320. by John R. Hershey, Peder A. Olsen posted to information_theory by filippone on 2009-05-07 12:43:53 as along with 2 people vlachmore davidr
	Input space versus feature space in kernel-based methods [My Copy] IEEE Transactions on Neural Networks, Vol. 10, No. 5. (1999), pp. 1000-1017. by Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, et al.Phil Knirsch, Klaus R. Müller, Gunnar Rätsch, Alexander J. Smola posted to kernel by filippone on 2009-04-03 15:28:12 as
	Dealing with Non-Metric Dissimilarities in Fuzzy Central Clustering Algorithms [My Copy] International Journal of Approximate Reasoning, Vol. 50, No. 2. (February 2009), pp. 363-384. by Maurizio Filippone posted to clustering by filippone on 2009-04-03 15:26:01 as
	Density Estimation for Statistics and Data Analysis [My Copy] (01 April 1986) by B. W. Silverman posted to density by filippone on 2009-04-03 15:17:38 as along with 11 people and 1 group ianhales Klapouchy asterix77 jrnold yaroslavvb alexr rpadams balajis dgront shimazaki xiaobeizhao Autoregulation
	Novelty detection for the identification of masses in mammograms [My Copy] Artificial Neural Networks, 1995., Fourth International Conference on In Fourth International Conference on Artificial Neural Networks (1995), pp. 442-447. by L. Tarassenko, P. Hayton, N. Cerneaz, M. Brady posted to novelty_detection by filippone on 2009-02-25 10:32:15 as along with 1 person sdvillal
	Information Theoretic Novelty Detection [My Copy] No. CS-09-02. (February 2009) by Maurizio Filippone, Guido Sanguinetti posted to novelty_detection by filippone on 2009-02-25 09:31:01 as
	Exposition of statistical graphics technology [My Copy] In ASA Proceedings of the Statistical Computation Section (1982) by L. H. Cox, M. M. Johnson, K. Kafadar posted to signal by filippone on 2009-02-17 11:40:02 as
	Estimating the Support of a High-Dimensional Distribution [My Copy] Neural Computation, Vol. 13, No. 7. (2001), pp. 1443-1471. by Bernhard Schölkopf, John C. Platt, John S. Taylor, Alex J. Smola, Robert C. Williamson posted to novelty_detection by filippone on 2009-02-10 10:17:14 as
	Employing optimized combinations of one-class classifiers for automated currency validation [My Copy] Pattern Recognition, Vol. 37, No. 6. (2004), pp. 1085-1096. by Chao He, Mark Girolami, Gary Ross posted to novelty_detection by filippone on 2009-02-06 09:50:11 as

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clustering	98
kernel	37
spectral	32
novelty_detection	30
biclustering	20
ensemble	16
density	11
autoregressive	10
machine-learning	9
timeseries	9
classification	8
dynamical-systems	6
statistics	6
support-vector	6
bayesian	4
data	3
dimensionality-reduction	3
gaussian-processes	3
graphs	3
optimization	3
algebra	2
detection	2
estimation	2
information_theory	2
maximum	2
novelty	2
signal	2
adaptive	1
anomaly	1
competitive	1
computational-complexity	1
degradation	1
digit-recognition	1
distributions	1
energy-function	1
entropy	1
equiprobable	1
fault	1
file-import-09-06-17	1
graph	1
histogram	1
imported	1
kernel-pca	1
learning	1
learningadaptive	1
likelihood	1
mathematics	1
methods	1
multivariable	1
nets	1
neural	1
online	1
program	1
quantisation	1
quantization	1
rule	1
sensor	1
sequential	1
structure	1
structures	1
time-varying	1
tree	1
trees	1
unsupervised	1
unsupervised-learning	1

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