ICANN 2005 - PDF Preprint Papers

ICANN 2005 International Conference on Artificial Neural Networks

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed ICANN-2005 Paper

click to vote

ICANN
2005
Springer

235views Neural Networks» more ICANN 2005»

Training of Support Vector Machines with Mahalanobis Kernels

13 years 10 months ago

Download www.lib.kobe-u.ac.jp

Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...

Shigeo Abe

claim paper

Read More »

Disclaimer and Copyright Notice

Sciweavers respects the rights of all copyright holders and in this regard, authors are only allowed to share a link to their preprint paper on their own website. Every contribution is associated with a desciptive image. It is the sole responsibility of the authors to ensure that their posted image is not copyright infringing. This service is compliant with IEEE copyright.

Id	Views	Title	Status

1	235	Training of Support Vector Machines with Mahalanobis Kernels	claim
2	225	Learning Features of Intermediate Complexity for the Recognition of Biological Motion
3	215	The LCCP for Optimizing Kernel Parameters for SVM
4	210	Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition	claim
5	208	An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval	claim
6	181	Online Learning for Object Recognition with a Hierarchical Visual Cortex Model	claim
7	179	A Neural Network Model for Inter-problem Adaptive Online Time Allocation	claim
8	179	Information Visualization for Knowledge Extraction in Neural Networks	claim
9	178	High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data	claim
10	176	SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps	claim
11	170	A Hardware/Software Framework for Real-Time Spiking Systems	claim
12	170	Image Segmentation by Complex-Valued Units	claim
13	163	Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations	claim
14	156	A Neural Network for Text Representation	claim
15	156	HYDRA: From Cellular Biology to Shape-Changing Artefacts	claim
16	155	Fast Color-Based Object Recognition Independent of Position and Orientation	claim
17	152	Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines	claim
18	151	Content-Based Retrieval of Web Pages and Other Hierarchical Objects with Self-organizing Maps	claim
19	151	Reinforcement Learning in MirrorBot	claim
20	147	Implicit Relevance Feedback from Eye Movements	claim
21	145	Connectionist Modeling of Linguistic Quantifiers	claim
22	144	Evolution of Heuristics for Give-Away Checkers	claim
23	144	Associative Learning in Hierarchical Self Organizing Learning Arrays	claim
24	143	Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition	claim
25	142	Evolving Modular Fast-Weight Networks for Control	claim
26	140	Some Issues About the Generalization of Neural Networks for Time Series Prediction	claim
27	139	Building the Cerebellum in a Computer	claim
28	133	Handwritten Digit Recognition with Nonlinear Fisher Discriminant Analysis	claim
29	133	Informational Energy Kernel for LVQ	claim
30	132	Action Understanding and Imitation Learning in a Robot-Human Task	claim
31	132	Balancing Guidance Range and Strength Optimizes Self-organization by Silicon Growth Cones	claim
32	130	Data Fusion for Modern Engineering Applications: An Overview	claim
33	130	Multiresponse Sparse Regression with Application to Multidimensional Scaling	claim
34	130	A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability	claim
35	129	Classifying Unprompted Speech by Retraining LSTM Nets	claim
36	129	The Emergence of Visual Object Recognition	claim
37	128	Neural Network with Memory and Cognitive Functions	claim
38	126	Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes	claim
39	126	CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study	claim
40	125	Self Organizing Map (SOM) Approach for Classification of Power Quality Events	claim
41	125	Discriminant Parallel Perceptrons	claim
42	125	Batch-Sequential Algorithm for Neural Networks Trained with Entropic Criteria	claim
43	124	Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks	claim
44	124	Manifold Constrained Variational Mixtures	claim
45	124	Discriminative Common Images for Face Recognition	claim
46	121	On Variations of Power Iteration	claim
47	120	Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling	claim
48	119	Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances	claim
49	119	Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction	claim
50	116	A Model for Delay Activity Without Recurrent Excitation	claim
51	116	A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor	claim
52	115	Short Term Memories and Forcing the Re-use of Knowledge for Generalization	claim
53	115	Neural Network Classifers in Arrears Management	claim
54	115	New Ears for a Robot Cricket	claim
55	111	f-SWRL: A Fuzzy Extension of SWRL	claim
56	110	Can Dynamic Neural Filters Produce Pseudo-Random Sequences?	claim
57	110	LS-SVM Hyperparameter Selection with a Nonparametric Noise Estimator	claim
58	109	Combining Attention and Value Maps	claim
59	109	Model Selection Under Covariate Shift	claim
60	108	Dynamics of Cortical Columns - Sensitive Decision Making	claim
61	105	A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks	claim
62	105	Back-Propagation as Reinforcement in Prediction Tasks	claim
63	103	Dynamics of Cortical Columns - Self-organization of Receptive Fields	claim
64	102	Short Term Memory and Pattern Matching with Simple Echo State Networks	claim
65	102	Gene Extraction for Cancer Diagnosis by Support Vector Machines	claim
66	100	Interpolation Mechanism of Functional Networks	claim
67	99	Support Vector Neural Training	claim
68	97	Principles of Employing a Self-organizing Map as a Frequent Itemset Miner	claim
69	97	The Topographic Product of Experts	claim
70	96	Improved, Simpler Neural Controllers for Lamprey Swimming	claim
71	95	Neural Architecture for Concurrent Map Building and Localization Using Adaptive Appearance Maps	claim
72	93	Smooth Bayesian Kernel Machines	claim
73	93	Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits	claim
74	93	Nonlinear Relational Markov Networks with an Application to the Game of Go	claim
75	91	Eigenvalue Problem Approach to Discrete Minimization	claim
76	91	Modelling Path Integrator Recalibration Using Hippocampal Place Cells	claim
77	79	SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers