IJON 2007 - PDF Preprint Papers

IJON 2007

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IJON
2007

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Convex incremental extreme learning machine

13 years 11 months ago

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Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...

Guang-Bin Huang, Lei Chen

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Id	Views	Title	Status

1	184	Convex incremental extreme learning machine	claim
2	166	Kernel PCA for similarity invariant shape recognition	claim
3	134	Analysis of SVM regression bounds for variable ranking	claim
4	132	Emergence of population synchrony in a layered network of the cat visual cortex	claim
5	131	Margin-based active learning for LVQ networks	claim
6	130	A model of Frame and Verb Compliance in language acquisition	claim
7	124	Palmprint recognition with 2DPCA+PCA based on modular neural networks	claim
8	120	Comparison of dynamical states of random networks with human EEG	claim
9	119	Finite sample effects of the fast ICA algorithm	claim
10	118	Time series prediction with recurrent neural networks trained by a hybrid PSO-EA algorithm	claim
11	118	CATS benchmark time series prediction by Kalman smoother with cross-validated noise density	claim
12	118	Low power CMOS electronic central pattern generator design for a biomimetic underwater robot	claim
13	117	Learning sensory representations with intrinsic plasticity	claim
14	116	Criticality of lateral inhibition for edge enhancement in neural systems	claim
15	114	A cell assembly model for complex behaviour	claim
16	114	Ridgelet kernel regression	claim
17	112	Extraction of spatio-temporal primitives of emotional body expressions	claim
18	109	Monophonic sound source separation with an unsupervised network of spiking neurones	claim
19	106	Forecasting the CATS benchmark with the Double Vector Quantization method	claim
20	104	A probabilistic model of eye movements in concept formation	claim
21	102	Methodology for long-term prediction of time series	claim
22	100	Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties	claim
23	100	A neural network approach to audio-assisted movie dialogue detection	claim
24	99	A relative trust-region algorithm for independent component analysis	claim
25	99	Criticality of avalanche dynamics in adaptive recurrent networks	claim
26	98	Convergent design of piecewise linear neural networks	claim
27	96	Suppressive effects in visual search: A neurocomputational analysis of preview search	claim
28	96	How do stimulus-dependent correlations between V1 neurons affect neural coding?	claim
29	95	A biophysical neural accumulator model of decision making in an antisaccade task	claim
30	94	A method for speeding up feature extraction based on KPCA	claim
31	93	Computing with active dendrites	claim
32	93	How much can we trust neural simulation strategies?	claim
33	93	Development of multi-cluster cortical networks by time windows for spatial growth	claim
34	91	Dynamics of parameters of neurophysiological models from phenomenological EEG modeling	claim
35	90	Storage of auditory temporal patterns in the songbird telencephalon	claim
36	90	Spatially organized spike correlation in cat visual cortex	claim
37	88	On developmental mental architectures	claim
38	88	Information maximization in face processing	claim
39	88	Self-organisation can generate the discontinuities in the somatosensory map	claim
40	87	A feature-binding model with localized excitations	claim
41	86	Validation of task-related excess of spike coincidences based on NeuroXidence	claim
42	85	Desynchronized stable states in diluted neural networks	claim
43	85	Hierarchical dynamical models of motor function	claim
44	84	Modeling self-developing biological neural networks	claim
45	83	Neurospaces: Towards automated model partitioning for parallel computers	claim
46	83	Phase synchronization between LFP and spiking activity in motor cortex during movement preparation	claim
47	82	Inhibitory conductance dynamics in cortical neurons during activated states	claim
48	81	Statistical analysis of spatially embedded networks: From grid to random node positions	claim
49	80	To each his own: The caregiver's role in a computational model of gaze following	claim
50	80	Hardware implementation of a novel genetic algorithm	claim
51	79	Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two compartments	claim
52	79	Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro	claim
53	78	Ranking neurons for mining structure-activity relations in biological neural networks: NeuronRank	claim
54	78	A non-parametric electrode model for intracellular recording	claim
55	77	Reliability and stochastic synchronization in type I vs. type II neural oscillators	claim
56	77	Dynamical computation reservoir emerging within a biological model network	claim
57	76	Modeling L-LTP based on changes in concentration of pCREB transcription factor	claim
58	74	Visual object concept discovery: Observations in congenitally blind children, and a computational approach	claim
59	74	Advances in computational intelligence and learning	claim
60	73	Time-scales in the interplay between calcium and voltage dynamics	claim
61	73	Affordances, effectivities, and assisted imitation: Caregivers and the directing of attention	claim
62	73	Improvement of spike coincidence detection with facilitating synapses	claim
63	73	A biophysical model of short-term plasticity at the calyx of Held	claim
64	73	Flexible and efficient implementations of Bayesian independent component analysis	claim
65	72	Inter-spike-intervals analysis of AER Poisson-like generator hardware	claim
66	69	Resonance tuning of a neuromechanical system with two negative sensory feedback configurations	claim
67	68	A self-organizing map of sigma-pi units	claim
68	68	Postsynaptic modulation of electrical EPSP size investigated using a compartmental model	claim
69	64	An entropy-based quantum neuro-fuzzy inference system for classification applications	claim
70	63	Advanced Neurocomputing Theory and Methodology	claim
71	61	Using fuzzy logic to improve a clustering technique for function approximation	claim
72	60	A computational model of the signals in optical imaging with voltage-sensitive dyes	claim
73	59	Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation	claim
74	58	Flexible neural trees ensemble for stock index modeling	claim
75	58	Learning principal directions: Integrated-squared-error minimization	claim
76	57	The role of cannabinoids in the neurobiology of sensory gating: A firing rate model study	claim
77	57	Time series prediction competition: The CATS benchmark	claim
78	55	Probabilistic feature-based transformation for speaker verification over telephone networks	claim
79	55	Short-term plasticity in a computational model of the tail-withdrawal circuit in Aplysia	claim
80	54	Information representation with an ensemble of Hodgkin-Huxley neurons	claim
81	52	Motor planning and sparse motor command representation	claim
82	51	Combining synaptic and cellular resonance in a feed-forward neuronal network	claim
83	48	A cortical network for control of voluntary movements in a robot finger	claim

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