ESANN 2004 - PDF Preprint Papers

ESANN 2004

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ESANN
2004

232views Neural Networks» more ESANN 2004»

Data Mining Techniques on the Evaluation of Wireless Churn

14 years 1 months ago

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This work focuses on one of the most critical issues to plague the wireless telecommunications industry today: the loss of a valuable subscriber to a competitor, also defined as ch...

Jorge Ferreira, Marley B. R. Vellasco, Marco Aur&e...

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Id	Views	Title	Status

1	232	Data Mining Techniques on the Evaluation of Wireless Churn	claim
2	231	Neural networks for data mining: constrains and open problems	claim
3	211	HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems	claim
4	191	Face Recognition Using Recurrent High-Order Associative Memories	claim
5	169	Sparse LS-SVMs using additive regularization with a penalized validation criterion	claim
6	169	Comparison of different classification methods on castabilty data coming from steelmaking practice	claim
7	165	Robust Bayesian Mixture Modelling	claim
8	163	Neural methods for non-standard data	claim
9	160	Evolutionary tuning of multiple SVM parameters	claim
10	157	Neuro-predictive control based self-tuning of PID controllers	claim
11	144	An informational energy LVQ approach for feature ranking	claim
12	140	Sparse Bayesian kernel logistic regression	claim
13	140	Linearization identification and an application to BSS using a SOM	claim
14	139	Dynamic functional-link neural networks genetically evolved applied to system identification	claim
15	133	Dimensionality reduction and classification using the distribution mapping exponent	claim
16	131	Separability of analytic postnonlinear blind source separation with bounded sources	claim
17	126	Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony	claim
18	124	Description of the Group Dynamic of Funds' Managers using Kohonen's Map	claim
19	123	Flexible and Robust Bayesian Classification by Finite Mixture Models	claim
20	122	A biologically plausible neuromorphic system for object recognition and depth analysis	claim
21	119	Neural dynamics for task-oriented grouping of communicating agents	claim
22	117	Online policy adaptation for ensemble classifiers
23	115	Input arrival-time-dependent decoding scheme for a spiking neural network	claim
24	115	Convergence properties of a fuzzy ARTMAP network	claim
25	115	Non-Euclidean norms and data normalisation	claim
26	112	A Modular Framework for Multi category feature selection in Digital mammography	claim
27	112	Clustering functional data with the SOM algorithm	claim
28	111	Fast semi-automatic segmentation algorithm for Self-Organizing Maps	claim
29	110	Learning by geometrical shape changes of dendritic spines	claim
30	110	Neural network-based calibration of positron emission tomograph detector modules	claim
31	110	Self-organizing context learning	claim
32	110	Evolutionary Optimization of Neural Networks for Face Detection	claim
33	109	On-line support vector machines and optimization strategies	claim
34	109	On fields of nonlinear regression models	claim
35	107	Theory and applications of neural maps	claim
36	106	Bias Term b in SVMs Again	claim
37	103	BIOSEG: a bioinspired vlsi analog system for image segmentation	claim
38	99	Novel approximations for inference and learning in nonlinear dynamical systems	claim
39	98	Forbidden Magnification? I	claim
40	97	Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps	claim
41	97	Visual person tracking with a Supervised Conditioning-SOM	claim
42	97	Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform	claim
43	97	Reducing connectivity by using cortical modular bands	claim
44	96	Computational model of amygdala network supported by neurobiological data	claim
45	95	Forbidden magnification? II	claim
46	95	Implementation and coupling of dynamic neurons through optoelectronics	claim
47	93	Using classification to determine the number of finger strokes on a multi-touch tactile device	claim
48	92	Fuzzy LP-SVMs for Multiclass Problems	claim
49	92	Lattice ICA for the separation of speech signals	claim
50	92	Input Space Bifurcation Manifolds of RNNs	claim
51	92	Neural Hardware: beyond ones and zeros	claim
52	91	MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality	claim
53	90	High-accuracy value-function approximation with neural networks applied to the acrobot	claim
54	90	Functional radial basis function networks	claim
55	90	A sliding mode controller using neural networks for robot manipulator	claim
56	88	Speaker verification by means of ANNs	claim
57	87	A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm	claim
58	87	A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses	claim
59	87	Soft-computing techniques for time series forecasting	claim
60	86	Regularizing generalization error estimators: a novel approach to robust model selection	claim
61	84	Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions?	claim
62	83	Shear strength prediction using dimensional analysis and functional networks	claim
63	82	Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime	claim
64	77	Three dimensional frames of reference transformations using gain modulated populations of neurons	claim
65	71	Functional preprocessing for multilayer perceptrons	claim
66	59	Integrated low noise signal conditioning interface for neuroengineering applications	claim

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