tlow's library 20 articles Export

	LIBSVM: a Library for Support Vector Machines (Version 2.31) [My Copy] by Chih-Chung Chang, Chih-Jen Lin posted to time_series support_vector_regression kernels forecasting by tlow on 2009-11-17 12:47:45 as along with 11 people and 1 group filippone shrikondra gyuli kaarsinogen grzegorz chad_davis craigtalbert zoop bundschu doubleshow vlachmore generif_paper
	Statistical Learning Theory [My Copy] (16 September 1998) by Vladimir N. Vapnik posted to support_vector_regression kernels by tlow on 2009-11-10 11:10:37 as along with 23 people and 3 groups montse_gg esyoun idlebrain lbustio iggykay fjanoos shrikondra brian thefillm imrchen yaroslavvb gyuli grzegorz sdvillal archroad paolo AbnerCYH abrentnall bundschu johnkork navil shimazaki jaonary Bioinformatics QFRMC_ConsumerCredit generif_paper
	Time Series Analysis: Forecasting & Control (3rd Edition) [My Copy] (28 February 1994) by George Box, Gwilym M. Jenkins, Gregory Reinsel posted to time_series forecasting confidence_intervals arima_model by tlow on 2009-11-10 10:43:02 as along with 3 people and 3 groups orm kashivishwanath cybrpunk sysnet dopsy GI Seminar - Modeling Simulation
	Wind Speed Forecasting Based on Support Vector Machine with Forecasting Error Estimation [My Copy] Machine Learning and Cybernetics, 2007 International Conference on, Vol. 5 (29 October 2007), pp. 2735-2739. by Guo-Rui Ji, Pu Han, Yong-Jie Zhai posted to time_series support_vector_regression forecasting confidence_intervals chaotic_data by tlow on 2009-11-02 15:24:37 as along with 1 person powerlee
	Time Series Prediction Using Nonlinear Support Vector Regression Based on Classification [My Copy] Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on (08 January 2007), pp. 13-13. by Mao XueMin, Yang Jie posted to time_series support_vector_regression forecasting by tlow on 2009-11-02 15:22:14 as
	Survey of current situation in radiation belt modeling [My Copy] Advances in Space Research, Vol. 34, No. 6. (2004), pp. 1441-1450. by S. Fung posted to space_weather radiation_belt_models radiation_belt geomagnetic_storms by tlow on 2009-10-29 16:18:49 as
	LANL* V1.0: a radiation belt drift shell model suitable for real-time and reanalysis applications [My Copy] Geoscientific Model Development, Vol. 2, No. 2. (29 July 2009), pp. 113-122. by J. Koller, G. D. Reeves, R. H. W. Friedel posted to space_weather radiation_belt neural_networks geomagnetic_field_models by tlow on 2009-10-29 15:32:53 as
	Electricity price forecasting with confidence-interval estimation through an extended ARIMA approach [My Copy] Generation, Transmission and Distribution, IEE Proceedings-, Vol. 153, No. 2. (27 March 2006), pp. 187-195. by M. Zhou, Z. Yan, Y. X. Ni, G. Li, Y. Nie posted to error_correction electricity_price confidence_intervals arima_model by tlow on 2009-10-21 15:55:23 as
	Relationship of the Van Allen radiation belts to solar wind drivers [My Copy] Journal of Atmospheric and Solar-Terrestrial Physics, Vol. 70, No. 5. (March 2008), pp. 708-729. by M. Hudson, B. Kress, H. Mueller, J. Zastrow, J. Bernardblake posted to space_weather radiation_belt by tlow on 2009-10-21 15:53:13 as
	A Statistical Approach for Interval Forecasting of the Electricity Price [My Copy] Power Systems, IEEE Transactions on, Vol. 23, No. 2. (22 April 2008), pp. 267-276. by Jun H. Zhao, Zhao Y. Dong, Zhao Xu, Kit P. Wong posted to time_series support_vector_machine forecasting confidence_intervals chaotic_data by tlow on 2009-10-13 11:03:40 as
	Confidence estimation methods for neural networks: a practical comparison [My Copy] Neural Networks, IEEE Transactions on, Vol. 12, No. 6. (06 August 2002), pp. 1278-1287. by G. Papadopoulos, P. J. Edwards, A. F. Murray posted to time_series neural_networks confidence_intervals by tlow on 2009-10-08 13:25:39 as
	Temporal Rule Discovery using Genetic Programming and Specialized Hardware [My Copy] In Proceedings of the 4th International Conference on Recent Advances in Soft Computing (RASC 2002) (12-13 December 2002), pp. 182-188. by Magnus L. Hetland, Pål Sætrom edited by Ahmad Lotfi, Jon Garibaldi, Robert John posted to time_series rule_discovery forecasting evolutionary_algorithms by tlow on 2009-10-08 09:55:54 as along with 1 person cmoewes
	A new probabilistic prediction approach based on local v-support vector regression [My Copy] Machine Learning and Cybernetics, 2008 International Conference on, Vol. 2 (05 September 2008), pp. 728-733. by Yong-Ming Zhang, Lie Chen, Wei-Gui Qi, Hai-Yan Tang posted to time_series support_vector_regression kernel_estimation forecasting confidence_intervals by tlow on 2009-10-08 09:49:59 as
	Rule Discovery From Time Series [My Copy] (1998), pp. 16-22. by Gautam Das, King-ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth posted to time_series rule_discovery by tlow on 2009-10-06 14:49:39 as
	Multiobjective Evolution of Temporal Rules [My Copy] In Proceedings of the 8th Scandinavian Conference on Artificial Intelligence (SCAI 2003) (2003) by Pål Sætrom, Magnus L. Hetland posted to time_series rule_discovery evolutionary_algorithms by tlow on 2009-10-06 14:34:43 as along with 1 person cmoewes
	Data mining with Temporal Abstractions: learning rules from time series [My Copy] Data Mining and Knowledge Discovery, Vol. 15, No. 2. (1 October 2007), pp. 217-247. by Lucia Sacchi, Cristiana Larizza, Carlo Combi, Riccardo Bellazzi posted to time_series rule_discovery by tlow on 2009-10-06 14:08:45 as along with 1 person cmoewes
	Predictability of large geomagnetic disturbances based on solar wind conditions [My Copy] Plasma Science, IEEE Transactions on, Vol. 32, No. 4. (08 October 2004), pp. 1506-1510. by R. S. Weigel, D. N. Baker, E. J. Rigler, D. Vassiliadis posted to forecasting time_series space_weather by tlow on 2009-10-05 16:47:03 as
	Local Forecasting of High Dimensional Chaotic Dynamics [My Copy] (5 February 1991) by Thomas P. Meyer, Norman H. Packard posted to forecasting time_series evolutionary_algorithms chaotic_data by tlow on 2009-10-05 16:33:43 as
	Evolutionary Rule Mining in Time Series Databases [My Copy] Machine Learning, Vol. 58, No. 2. (1 February 2005), pp. 107-125. by Magnus L. Hetland, Pål Sætrom posted to time_series rule_discovery by tlow on 2009-10-05 16:21:19 as along with 2 people cmoewes beete
	Forecasting chaotic time series with genetic algorithms [My Copy] Physical Review E, Vol. 55, No. 3. (Mar 1997), pp. 2557-2568. by George G. Szpiro posted to forecasting time_series evolutionary_algorithms chaotic_data by tlow on 2009-10-05 16:12:03 as

Note: You may cite this page as: http://www.citeulike.org/user/tlow

time_series	15
forecasting	10
confidence_intervals	6
rule_discovery	5
support_vector_regression	5
chaotic_data	4
evolutionary_algorithms	4
space_weather	4
radiation_belt	3
arima_model	2
kernels	2
neural_networks	2
kernel_estimation	1
error_correction	1
support_vector_machine	1
geomagnetic_storms	1
geomagnetic_field_models	1
radiation_belt_models	1
electricity_price	1

tlow's library 20 articles Export

tlow's tags