IJCNN 2000 - PDF Preprint Papers

IJCNN 2000 IEEE - INNS - ENNS International Joint Conference on Neural Networks

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IJCNN
2000
IEEE

481views Neural Networks» more IJCNN 2000»

Overfitting and Neural Networks: Conjugate Gradient and Backpropagation

14 years 5 months ago

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Steve Lawrence, C. Lee Giles

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Id	Views	Title	Status

1	481	Overfitting and Neural Networks: Conjugate Gradient and Backpropagation	claim
2	299	Geometric Neural Networks and Support Multi-Vector Machines	claim
3	292	Overlapped Multi-Neural-Network: A Case Study	claim
4	226	A Neural Network Approach for Visual Cryptography	claim
5	218	Competing Hidden Markov Models on the Self-Organizing Map	claim
6	213	Pose Classification Using Support Vector Machines	claim
7	194	Applying CMAC-Based On-Line Learning to Intrusion Detection	claim
8	188	Analog Hardware Implementation of the Random Neural Network Model	claim
9	185	EM Algorithms for Self-Organizing Maps	claim
10	181	Comparison of a Heuristic Dynamic Programming and a Dual Heuristic Programming Based Adaptive Critics Neurocontroller for a Turbogenerator	claim
11	173	Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions	claim
12	172	Bi-Causal Recurrent Cascade Correlation	claim
13	171	Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables	claim
14	167	Metrics that Learn Relevance	claim
15	165	Hypersphere ART and ARTMAP for Unsupervised and Supervised, Incremental Learning	claim
16	165	Exploiting the Selfish Gene Algorithm for Evolving Cellular Automata	claim
17	165	People Recognition and Pose Estimation in Image Sequences	claim
18	164	The Growing Hierarchical Self-Organizing Map	claim
19	164	Support Vector Machines Based on a Semantic Kernel for Text Categorization	claim
20	160	Input Window Size and Neural Network Predictors	claim
21	152	Taxonomy of Neural Transfer Functions	claim
22	151	Novel Use of Channel Information in a Neural Convolutional Decoder	claim
23	149	Learning Fine Positioning of a Robot Manipulator Based on Gabor Wavelets	claim
24	145	Classification of Noisy Signals Using Fuzzy ARTMAP Neural Networks	claim
25	145	The Inefficiency of Batch Training for Large Training Sets	claim
26	144	An Array Feed Radial Basis Function Tracking System for NASA's Deep Space Network Antennas	claim
27	144	Simulation of a Digital Neuro-Chip for Spiking Neural Networks	claim
28	143	Global Optimization Algorithms for Training Product Unit Neural Networks	claim
29	142	Predictive Multiple Model Switching Control with the Self-Organizing Map	claim
30	142	A Constraint Learning Algorithm for Blind Source Separation	claim
31	140	On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application	claim
32	139	Evolving Neural Network Structures Using Axonal Growth Mechanisms	claim
33	139	On MCMC Sampling in Bayesian MLP Neural Networks	claim
34	139	PD Control of Robot with RBF Networks Compensation	claim
35	139	Unsupervised Classification of Complex Clusters in Networks of Spiking Neurons	claim
36	138	Adding Reinforcement Learning Features to the Neural-Gas Method	claim
37	137	Biologically Inspired Neural Controllers for Motor Control in a Quadruped Robot	claim
38	137	A Structure Trainable Neural Network with Embedded Gating Units and Its Learning Algorithm	claim
39	135	Neural Networks for Novelty Detection in Airframe Strain Data	claim
40	134	Supervised Scaled Regression Clustering: An Alternative to Neural Networks	claim
41	134	Unsupervised Learning of Neural Network Ensembles for Image Classification	claim
42	134	Basic Dynamics from a Pulse-Coupled Network of Autonomous Integrate-and-Fire Chaotic Circuits	claim
43	133	A 2D Neuromorphic VLSI Architecture for Modeling Selective Attention	claim
44	133	Adding a Healing Mechanism in the Self-Organizing Feature Map Algorithm	claim
45	132	Using Hopfield Networks to Solve Traveling Salesman Problems Based on Stable State Analysis Technique	claim
46	132	Hardware Implementation of a PCA Learning Network by an Asynchronous PDM Digital Circuit	claim
47	132	A Training Method with Small Computation for Classification	claim
48	131	Neuron Weight Dynamics in the SOM and Self-Organized Criticality	claim
49	127	Incorporating a priori Knowledge into Initialized Weights for Neural Classifier	claim
50	127	Regression Analysis for Rival Penalized Competitive Learning Binary Tree	claim
51	127	Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources	claim
52	126	Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms	claim
53	125	A Neural Support Vector Network Architecture with Adaptive Kernels	claim
54	124	A Three-Dimensional Physiologically Realistic Model of the Retina	claim
55	124	Support Vector Machine for Regression and Applications to Financial Forecasting	claim
56	119	Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties	claim
57	119	Improved Rotational Invariance for Statistical Inverse in Electrical Impedance Tomography	claim
58	119	Adaptive Critic Design for Intelligent Steering and Speed Control of a 2-Axle Vehicle	claim
59	118	Improving the Generalization Capability of the Binary CMAC	claim
60	117	Piecewise Linear Homeomorphisms: The Scalar Case	claim
61	117	A Connectionist Approach for Evaluating the Complexity of Interaction in the World Wide Web: The Case of News Groups	claim
62	117	The Cellular Simultaneous Recurrent Network Adaptive Critic Design for the Generalized Maze Problem Has a Simple Closed-Form Solution	claim
63	116	Continuous Optimization of Hyper-Parameters	claim
64	116	Neuronal Architecture for Waveguide Inductive Iris Bandpass Filter Optimization	claim
65	116	A New Method for Tracking Modulations in Tonal Music in Audio Data Format	claim
66	116	Neuro-Wavelet Parametric Modeling	claim
67	115	A SOM Based Cluster Visualization and Its Application for False Coloring	claim
68	115	Computational Intelligence in Adaptive Educational Hypermedia	claim
69	114	Incremental Active Learning with Bias Reduction	claim
70	113	A Methodology for Example-Based Specification and Design	claim
71	113	A Full-Parallel Digital Implementation for Pre-Trained NNs	claim
72	113	Knowledge-Based Cascade-Correlation	claim
73	112	Probabilistic Neural Network Models for Sequential Data	claim
74	112	Automatic Category Generation for Text Documents by Self-Organizing Maps	claim
75	111	Phoneme Recognition with Staged Neural Networks	claim
76	111	Regularization Learning and Early Stopping in Linear Networks	claim
77	111	A Modular Neural Network for Global Modeling of Microwave Transistors	claim
78	111	Neural-Gas for Function Approximation: A Heuristic for Minimizing the Local Estimation Error	claim
79	111	Frequency-Based Error Back-Propagation in a Cortical Network	claim
80	110	Performance Comparison among Neural Decision Feedback Equalizers	claim
81	109	An Incremental Growing Neural Network and its Application to Robot Control	claim
82	109	Bias Learning, Knowledge Sharing	claim
83	108	An Indirect Adaptive Neural Control of Nonlinear Plants	claim
84	108	Non-Destructive Test by the Hopfield Network	claim
85	108	An Oscillatory Correlation Model of Human Motion Perception	claim
86	108	Neurophysiology of a VLSI Spiking Neural Network: LANN21	claim
87	108	Pulse-Coupled Networks of Non-Autonomous Integrate-and-Fire Oscillators and Classification Functions	claim
88	107	Analysis of Fluctuation-Induced Firing in the Presence of Inhibition	claim
89	107	Optimization on Support Vector Machines	claim
90	104	Comparison of Text-Dependent Speaker Identification Methods for Short Distance Telephone Lines Using Artificial Neural Networks	claim
91	102	Storage and Recall of Complex Temporal Sequences through a Contextually Guided Self-Organizing Neural Network	claim
92	101	Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA	claim
93	101	Sensor Errors Prediction Using Neural Networks	claim
94	100	VC Dimension Bounds for Product Unit Networks	claim
95	98	Two Sites of Synaptic Integration: Relevant for Learning?	claim
96	96	A Modular Neural System for Machine Cognition	claim
97	95	Sensitivity Analysis for Conic Section Function Neural Networks	claim
98	94	Neural Network for Travel Demand Forecast Using GIS and Remote Sensing	claim
99	93	Network Capacity for Latent Attractor Computation	claim
100	93	A Noise-Robust Front-End Based on Tree-Structured Filter-Bank for Speech Recognition	claim
101	91	Fog Forecasting Using Self Growing Neural Network 'CombNET-II: ' A Solution for Imbalanced Training Sets Problem	claim
102	90	ICA for Noisy Neurobiological Data	claim
103	86	Hybrid HMM-NN Architectures for Connected Digit Recognition	claim

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