IJCNN 2007 - PDF Preprint Papers

IJCNN 2007 IEEE - INNS - ENNS International Joint Conference on Neural Networks

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IJCNN
2007
IEEE

222views Neural Networks» more IJCNN 2007»

Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines

13 years 10 months ago

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Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...

Gavin C. Cawley, Nicola L. C. Talbot

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Id	Views	Title	Status

1	222	Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines	claim
2	190	Robotic Architecture Inspired on Behavior Analysis	claim
3	173	An Associative Memory for Association Rule Mining	claim
4	171	Generalised Kernel Machines	claim
5	170	Modeling Overlapping Execution/Observation Brain Pathways	claim
6	169	Random Feature Subset Selection for Analysis of Data with Missing Features	claim
7	161	Adaptive Dynamic Modularity in a Connectionist Model of Context-Dependent Idea Generation	claim
8	161	Risk Assessment Algorithms Based on Recursive Neural Networks	claim
9	161	Multi-Stage Optimal Component Analysis	claim
10	159	Neural Network Ensembles for Time Series Prediction	claim
11	155	Compact hardware for real-time speech recognition using a Liquid State Machine	claim
12	154	Agnostic Learning vs. Prior Knowledge Challenge	claim
13	150	Analysis of mammogram using self-organizing neural networks based on spatial isomorphism	claim
14	148	3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization	claim
15	145	Context-Aware Fuzzy ArtMap for Received Signal Strength Based Location Systems	claim
16	145	Evaluation of Performance Measures for SVR Hyperparameter Selection	claim
17	143	Philosophical Aspects of Neural, Probabilistic and Fuzzy Modeling of Language Use and Translation	claim
18	143	Neurolinguistic Approach to Vector Representation of Medical Concepts	claim
19	142	Theta Neuron Networks: Robustness to Noise in Embedded Applications	claim
20	142	Toyota Prius HEV neurocontrol	claim
21	141	Local Learning of Tide Level Time Series using a Fuzzy Approach	claim
22	140	A Constructive-Fuzzy System Modeling for Time Series Forecasting	claim
23	139	A Hybrid HMM/ANN Based Approach for Online Signature Verification	claim
24	133	Spiking and Bursting Firing Patterns of a Compact VLSI Cortical Neuron Circuit	claim
25	133	Using Artificial Neural Networks and Feature Saliency Techniques for Improved Iris Segmentation	claim
26	131	Probability Density Function Estimation Using Orthogonal Forward Regression	claim
27	131	A Neural Network based Audio Content Classification	claim
28	131	Automated Linear Modeling of Time Series with Self Adaptive Genetic Algorithms	claim
29	129	Sparse Distributed Representations for Words with Thresholded Independent Component Analysis	claim
30	128	A Novel Weighted LBG Algorithm for Neural Spike Compression	claim
31	128	DHP-Based Wide-Area Coordinating Control of a Power System with a Large Wind Farm and Multiple FACTS Devices	claim
32	123	Evolving a Neural Net-Based Decision and Search Heuristic for DPLL SAT Solvers	claim
33	122	Character Recognition using Spiking Neural Networks	claim
34	120	A Piecewise Linear Network Classifier	claim
35	120	Implementation of multi-layer leaky integrator networks on a cellular processor array	claim
36	119	Odor Recognition with Synchronization using Integrate and Fire Neurons	claim
37	119	Maximum Margin based Semi-supervised Spectral Kernel Learning	claim
38	119	Computational Templates, Neural Network Dynamics, and Symbolic Logic	claim
39	118	Agnostic Learning with Ensembles of Classifiers	claim
40	118	System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks	claim
41	117	A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA	claim
42	117	Spectral Clustering of Synchronous Spike Trains	claim
43	117	Daily Load Forecasting Using Quick Propagation Neural Network with a Special Holiday Encoding	claim
44	116	Two-stage Multi-class AdaBoost for Facial Expression Recognition	claim
45	116	Default ARTMAP 2	claim
46	114	A Cell Assembly Model of Sequential Memory	claim
47	114	Automated Abstraction of Dynamic Neural Systems for Natural Language Processing	claim
48	114	FEBAM: A Feature-Extracting Bidirectional Associative Memory	claim
49	114	Parameter Optimization of PSS Based on Estimated Hessian Matrix from Trajectory Sensitivities	claim
50	113	Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection	claim
51	110	A Wrapper for Projection Pursuit Learning	claim
52	110	Optimal Control of a Photovoltaic Solar Energy System with Adaptive Critics	claim
53	110	Optimizing 0/1 Loss for Perceptrons by Random Coordinate Descent	claim
54	108	Enhanced Facilitatory Neuronal Dynamics for Delay Compensation	claim
55	108	TRUST-TECH Based Neural Network Training	claim
56	107	Mixture of nonlinear models: a Bayesian fit for Principal Curves	claim
57	107	Parallel Learning of Large Fuzzy Cognitive Maps	claim
58	107	A Closed Form Solution for Multiple-Input Spike Based Adaptive Filters	claim
59	107	Integrating a Flexible Representation Machinery in a Model of Human Concept Learning	claim
60	106	Image Classification Using Wavelet Coefficients in Low-pass Bands	claim
61	105	Encoding Complete Body Models Enables Task Dependent Optimal Behavior	claim
62	104	Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning	claim
63	103	Analyzing the Fuzzy ARTMAP Matchtracking mechanism with Co-Objective Optimization Theory	claim
64	103	A Functional Link Network With Ordered Basis Functions	claim
65	101	Text Representations for Text Categorization: A Case Study in Biomedical Domain	claim
66	101	The Metro Visualisation of Component Planes for Self-Organising Maps	claim
67	101	Cortical representation of information about visual attributes: one network or many?	claim
68	98	Nonlinear systems identification via two types of recurrent fuzzy CMAC	claim
69	97	Large Scale Imbalanced Classification with Biased Minimax Probability Machine	claim
70	93	Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps	claim
71	93	Optimising the Hystereses of a Two Context Layer RNN for Text Classification	claim
72	92	Predicting Spike Activity in Neuronal Cultures	claim
73	92	On Extending the SMO Algorithm Sub-Problem	claim
74	92	Preference Learning for Category-Ranking based Interactive Text Categorization	claim
75	92	Upper Bound on Pattern Storage in Feedforward Networks	claim
76	91	Transfer Learning in Decision Trees	claim
77	91	Learning Methods for DNA Binding in Computational Biology	claim
78	90	Distance-based Disagreement Classifiers Combination	claim
79	90	Do Neural Models Scale up to a Human Brain?	claim
80	89	Predictive E-Mail Server Performability Analysis Based on Fuzzy Arithmetic	claim
81	89	Search Strategies Guided by the Evidence for the Selection of Basis Functions in Regression	claim
82	88	Limited receptive area neural classifier for recognition of swallowing sounds using short-time Fourier transform	claim
83	86	PSMS for Neural Networks on the IJCNN 2007 Agnostic vs Prior Knowledge Challenge	claim
84	85	Faults Detection and Isolation Based On Neural Networks Applied to a Levels Control System	claim
85	85	Wavelet Basis Function Neural Networks	claim
86	85	A Hardware-friendly Support Vector Machine for Embedded Automotive Applications	claim
87	82	Range Data Approximation for Mobile Robot by Using CAN2	claim
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89	80	The Improved Correlation Matrix Memory (CMML)	claim
90	79	Obtaining EM Initial Points by Using the Primitive Initial Point and Subsampling Strategy	claim
91	72	Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems	claim
92	71	A Neural Network-based Learning Controller for Micro-sized Object Micromanipulation	claim
93	65	Self-Organizing Maps as Traveling Computational Templates	claim

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