IJCNN 2006 - PDF Preprint Papers

IJCNN 2006 IEEE - INNS - ENNS International Joint Conference on Neural Networks

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IJCNN
2006
IEEE

99views Neural Networks» more IJCNN 2006»

Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs

1 years 11 months ago

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Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...

Gavin C. Cawley

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Id	Views	Title	Status
1	99	Leave-One-Out Cross-Validation Based Model Selection Criteria for Weighted LS-SVMs	claim
2	87	Bimodal Integration of Phonemes and Letters: an Application of Multimodal Self-Organizing Networks	claim
3	85	A Scalable FPGA Implementation of Cellular Neural Networks for Gabor-type Filtering	claim
4	84	Fast Modifications of the SpikeProp Algorithm	claim
5	80	Improving the Convergence of Backpropagation by Opposite Transfer Functions	claim
6	80	Recognizing Human Emotion from Partial Facial Features	claim
7	76	Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement	claim
8	69	SOM-Based Sparse Binary Encoding for AURA Classifier	claim
9	66	Improved Snake Model for Fast Image Segmentation	claim
10	65	Preparing More Effective Liquid State Machines Using Hebbian Learning	claim
11	64	Cooperative Transportation by Multiple Mobile Manipulators using Adaptive NN Control	claim
12	63	Co-training using RBF Nets and Different Feature Splits	claim
13	62	Learning the Kernel in Mahalanobis One-Class Support Vector Machines	claim
14	62	Sparse Optimization for Second Order Kernel Methods	claim
15	62	TempUnit: A bio-inspired neural network model for signal processing	claim
16	61	Prototype based outlier detection	claim
17	61	Predicting Juvenile Diabetes from Clinical Test Results	claim
18	60	Variance Stabilizing Regression Ensembles for Environmental Models	claim
19	59	Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks	claim
20	58	In Situ Training of CMOL CrossNets	claim
21	58	Reconstruction of Gene Regulatory Networks from Temporal Microarray Data Using Pattern Recognition Techniques	claim
22	58	Learning using Dynamical Regime Identification and Synchronization	claim
23	57	Regularization and Averaging of the Selective Naive Bayes classifier	claim
24	56	Optimal Design of SVC Damping Controllers with Wide Area Measurements Using Small Population based PSO	claim
25	56	Reinforcement Learning Control for Biped Robot Walking on Uneven Surfaces	claim
26	56	Neural Network Control of Spark Ignition Engines with High EGR Levels	claim
27	56	Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm	claim
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31	55	Sparse Bayesian Models: Bankruptcy-Predictors of Choice?	claim
32	55	Cellular SRN Trained by Extended Kalman Filter Shows Promise for ADP	claim
33	54	Patterns, Hypergraphs and Embodied General Intelligence	claim
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35	53	Correntropy: A Localized Similarity Measure	claim
36	53	Nonlinear Component Analysis Based on Correntropy	claim
37	53	Vergence Control of 2 DOF Pan-Tilt Binocular Cameras using a Log-Polar Representation of the Visual Cortex	claim
38	53	A Variable Node-to-Node-Link Neural Network and Its Application to Hand-Written Recognition	claim
39	53	Is High Resolution Representation More Effective for Content Based Image Classification?	claim
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41	51	An Architecture for Object-based Saccade Generation using a Biologically Inspired Self-organised Retina	claim
42	51	Dynamic Hyperparameter Scaling Method for LVQ Algorithms	claim
43	51	Tristability in Model Neurons	claim
44	51	Reservoir-based techniques for speech recognition	claim
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46	51	Methods for Parallelizing the Probabilistic Neural Network on a Beowulf Cluster Computer	claim
47	51	A Comparison between Recursive Neural Networks and Graph Neural Networks	claim
48	50	Complex Phase Synchronization in an Array of Oscillators Coupled by Time-Varying Resistor	claim
49	50	Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers	claim
50	50	Learning with Mean-Variance Filtering, SVM and Gradient-based Optimization	claim
51	50	Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing	claim
52	50	Language Acquisition and Symbol Grounding Transfer with Neural Networks and Cognitive Robots	claim
53	49	Anti-swing control for overhead crane with neural compensation	claim
54	49	Extraction of Components with Structured Variance	claim
55	49	Backpropagation for Population-Temporal Coded Spiking Neural Networks	claim
56	49	Reinforcement Learning for Platform-Independent Visual Robot Control	claim
57	48	Recurrent Neural Network Based Gating for Natural Gas Load Prediction System	claim
58	48	Semi-supervised feature selection via multiobjective optimization	claim
59	48	An Interval Type-II Robust Fuzzy Logic Controller for a Static Compensator in a Multimachine Power System	claim
60	48	Learning a Rendezvous Task with Dynamic Joint Action Perception	claim
61	48	Online Kernel Canonical Correlation Analysis for Supervised Equalization of Wiener Systems	claim
62	48	Biologically Inspired KFLANN Place Fields for Robot Localization	claim
63	48	Local Cluster Neural Network On-chip Training	claim
64	48	Online Training of a Generalized Neuron with Particle Swarm Optimization	claim
65	48	Model Selection via Bilevel Optimization	claim
66	47	A Structured Context Model for Grammar Learning	claim
67	47	C2FS: An Algorithm for Feature Selection in Cascade Neural Networks	claim
68	47	A computational intelligence-based criterion to detect non-stationarity trends	claim
69	47	Nonlinear principal component analysis of noisy data	claim
70	47	A Mobile Vision System with Reconfigurable Intelligent Agents	claim
71	46	The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator	claim
72	46	An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization	claim
73	46	Generalization Improvement in Multi-Objective Learning	claim
74	46	Combining Multi-Frame Images for Enhancement Using Self-Delaying Dynamic Networks	claim
75	46	Automated Model Selection (AMS) on Finite Mixtures: A Theoretical Analysis	claim
76	46	P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data	claim
77	46	Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification	claim
78	46	Data Fusion for Outlier Detection through Pseudo-ROC Curves and Rank Distributions	claim
79	46	Modeling Cortical Maps with Feed-Backs	claim
80	46	A Variational EM Approach to Predicting Uncertainty in Supervised Learning	claim
81	45	High-speed Bi-directional Function Approximation using Plausible Neural Networks	claim
82	45	An Adaptive Penalty-Based Learning Extension for Backpropagation and its Variants	claim
83	45	Markov Coding Strategy of the Simple Spiking Model of Auditory Neuron	claim
84	45	Learning to Rank by Maximizing AUC with Linear Programming	claim
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86	45	Common Subset Selection of Inputs in Multiresponse Regression	claim
87	44	Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model	claim
88	44	Training Coordination Proxy Agents	claim
89	44	Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting	claim
90	44	Design of Optimal PI Controllers for Doubly Fed Induction Generators Driven by Wind Turbines Using Particle Swarm Optimization	claim
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92	44	Particle Swarm Optimization of Fuzzy ARTMAP Parameters	claim
93	44	Support Vector Machine with Fuzzy Decision-Making for Real-world Data Classification	claim
94	44	Optimal In-Place Learning and the Lobe Component Analysis	claim
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96	44	Spatiotemporal Pattern Recognition via Liquid State Machines	claim
97	44	Durability of Affordable Neural Networks against Damages	claim
98	44	An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors	claim
99	43	Kernel Based Functional Gene Grouping	claim
100	43	The Mechanism of Thought	claim
101	43	Computational Neurogenetic Modeling: A Methodology to Study Gene Interactions Underlying Neural Oscillations	claim
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103	43	Modeling the Evolution of Decision Rules in the Human Brain	claim
104	43	Classification by means of Evolutionary Product-Unit Neural Networks	claim
105	43	Alleviating Catastrophic Forgetting via Multi-Objective Learning	claim
106	42	A Heuristic for Free Parameter Optimization with Support Vector Machines	claim
107	42	Reinforcement Learning for Parameterized Motor Primitives	claim
108	42	Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks	claim
109	42	In-Place Learning for Positional and Scale Invariance	claim
110	41	Studies on Sparse Array Cortical Modeling and Memory Cognition Duality	claim
111	41	Generalizing Independent Component Analysis for Two Related Data Sets	claim
112	41	Single and Multi-Objective Genetic Algorithms for the Selection of Ensemble of Classifiers	claim
113	41	Some stability properties of dynamic neural networks with different time-scales	claim
114	40	Bi-directional Modularity to Learn Visual Servoing Tasks	claim
115	40	Forecasting Time Series with a New Architecture for Polynomial Artificial Neural Network	claim
116	40	Divide and Conquer Strategies for MLP Training	claim
117	40	Improvement of an Artificial Neural Network Model using Min-Max Preprocessing for the Prediction of Wave-induced Seabed Liquefaction	claim
118	40	Tentacled Self-Organizing Map for Effective Data Extraction	claim
119	40	Nominal-scale Evolving Connectionist Systems	claim
120	40	Small-catchment flood forecasting and drainage network extraction using computational intelligence	claim
121	40	A Learning Method for Synthesizing Spiking Neural Oscillators	claim
122	40	Mutual-Information Noise Benefits in Brownian Models of Continuous and Spiking Neurons	claim
123	39	Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach	claim
124	39	Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network	claim
125	39	Support Vector Machines to Weight Voters in a Voting System of Entity Extractors	claim
126	39	Channel Assignment using Chaotic Simulated Annealing Enhanced Hopfield Neural Network	claim
127	39	A Weighted Voting and Sequential Combination of Classifiers Scheme for Human Face Recognition	claim
128	39	Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine	claim
129	39	Shaping Realistic Neuronal Morphologies: An Evolutionary Computation Method	claim
130	38	Semi-Supervised Model Selection Based on Cross-Validation	claim
131	38	Cooperation-based Clustering for Profit-maximizing Organizational Design	claim
132	38	Training Reformulated Product Units in Hybrid Neural Networks	claim
133	38	Ensemble of Neural Network Emulations for Climate Model Physics: The Impact on Climate Simulations	claim
134	38	How Not to Evaluate a Developmental System	claim
135	38	A Very Small Chaotic Neural Net	claim
136	38	Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions	claim
137	38	Knowledge Representation and Possible Worlds for Neural Networks	claim
138	38	An Exhaustive Search Strategy for Detecting Persons in Beach Scenes using Digital Video Imagery and Neural Network-based Classification	claim
139	37	Predictive Uncertainty in Environmental Modelling	claim
140	37	From Light to Spikes: a Large-Scale Retina Simulator	claim
141	37	Evolutionary Ensemble Creation and Thinning	claim
142	37	Neural Network Model of Context-Dependent Neuronal Activity in Inferotemporal Cortex	claim
143	37	A Connectionist Approach to Speech Understanding	claim
144	37	Greedy forward selection algorithms to Sparse Gaussian Process Regression	claim
145	37	Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve	claim
146	37	A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions	claim
147	36	Venn-like models of neo-cortex patches	claim
148	36	Effective Training Methods for Function Localization Neural Networks	claim
149	36	Echo State Networks for Determining Harmonic Contributions from Nonlinear Loads	claim
150	35	Event modeling of message interchange in stochastic neural ensembles	claim
151	35	Learning to Segment Any Random Vector	claim
152	35	A Monte Carlo Sequential Estimation for Point Process Optimum Filtering	claim
153	35	Real-Time Implementation of an Optimal Transient Neurocontroller for a GCSC	claim
154	35	A Self-Organising Map Approach for Clustering of XML Documents	claim
155	35	Pattern Selection for Support Vector Regression based on Sparseness and Variability	claim
156	34	Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD	claim
157	34	Constraints on the Design Process for Systems with Human Level Intelligence	claim
158	34	Local Support Vector Regression for Financial Time Series Prediction	claim
159	34	Implementing Synaptic Plasticity in a VLSI Spiking Neural Network Model	claim
160	34	Oscillatory Network for Synchronization-Based Adaptive Image Segmentation	claim
161	33	On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning	claim
162	33	Particle Swarm Optimization based Defensive Islanding of Large Scale Power System	claim
163	31	Statistical Mechanics of Online Learning for Ensemble Teachers	claim
164	30	An optimization approach to achieve unsupervised segmentation and binding in a dynamical network	claim
165	29	Global Reinforcement Learning in Neural Networks with Stochastic Synapses	claim
166	27	Reducing Uncertainties in Neural Network Jacobians and Improving Accuracy of Neural Network Emulations with NN Ensemble Approaches	claim

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