ICANN 2009 - PDF Preprint Papers

ICANN 2009 International Conference on Artificial Neural Networks

Teaser Browsing | Click Here

Title Browsing | Click Here

Wall of Fame | Most Viewed ICANN-2009 Paper

click to vote

ICANN
2009
Springer

254views Neural Networks» more ICANN 2009»

Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling

14 years 5 months ago

Download www-users.cs.york.ac.uk

Kernel density estimation (KDE) has been used in many computational intelligence and computer vision applications. In this paper we propose a Bayesian estimation method for ﬁndin...

Adrian G. Bors, Nikolaos Nasios

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	254	Bayesian Estimation of Kernel Bandwidth for Nonparametric Modelling	claim
2	203	Empirical Study of the Universum SVM Learning for High-Dimensional Data	claim
3	190	Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval	claim
4	175	Almost Random Projection Machine	claim
5	172	Connectionist Models for Formal Knowledge Adaptation	claim
6	166	Classification Based on Combination of Kernel Density Estimators	claim
7	159	Learning Features by Contrasting Natural Images with Noise	claim
8	157	Learning Complex Population-Coded Sequences	claim
9	156	Algorithms for Structural and Dynamical Polychronous Groups Detection	claim
10	154	Logics and Networks for Human Reasoning	claim
11	150	Mental Tasks Classification for a Noninvasive BCI Application	claim
12	149	MINLIP: Efficient Learning of Transformation Models	claim
13	148	Scalable Neural Networks for Board Games
14	145	Learning from Examples to Generalize over Pose and Illumination	claim
15	145	Mining Rules for the Automatic Selection Process of Clustering Methods Applied to Cancer Gene Expression Data	claim
16	144	Basis Decomposition of Motion Trajectories Using Spatio-temporal NMF	claim
17	142	Adaptive Feature Transformation for Image Data from Non-stationary Processes	claim
18	141	Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction	claim
19	140	Combining Multiple Inputs in HyperNEAT Mobile Agent Controller	claim
20	138	Switching Hidden Markov Models for Learning of Motion Patterns in Videos	claim
21	137	Decomposition Methods for Detailed Analysis of Content in ERP Recordings	claim
22	134	Identifying Customer Profiles in Power Load Time Series Using Spectral Clustering	claim
23	133	Acquiring and Classifying Signals from Nanopores and Ion-Channels	claim
24	130	On the Knowledge Organization in Concept Formation: An Exploratory Cognitive Modeling Study	claim
25	128	Multimodal Sparse Features for Object Detection	claim
26	128	Constrained Learning Vector Quantization or Relaxed k-Separability	claim
27	127	Using Kernel Basis with Relevance Vector Machine for Feature Selection	claim
28	125	A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means	claim
29	123	An EM Based Training Algorithm for Recurrent Neural Networks	claim
30	123	Efficient Uncertainty Propagation for Reinforcement Learning with Limited Data	claim
31	122	How Bursts Shape the STDP Curve in the Presence/Absence of GABAergic Inhibition	claim
32	121	Learning SVMs from Sloppily Labeled Data	claim
33	118	Computing with Probabilistic Cellular Automata	claim
34	113	Selective Attention Improves Learning	claim
35	113	Evolving Memory Cell Structures for Sequence Learning	claim
36	112	Multiple Sound Source Localisation in Reverberant Environments Inspired by the Auditory Midbrain	claim
37	110	Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning	claim
38	108	Large-Scale Real-Time Object Identification Based on Analytic Features	claim
39	106	Recognition of Properties by Probabilistic Neural Networks	claim
40	106	Measuring and Optimizing Behavioral Complexity for Evolutionary Reinforcement Learning	claim
41	101	Simbed: Similarity-Based Embedding	claim
42	101	Image Theft Detection with Self-Organising Maps	claim
43	100	Spectra of the Spike Flow Graphs of Recurrent Neural Networks	claim
44	98	Optimizing Generic Neural Microcircuits through Reward Modulated STDP	claim
45	97	Probability-Based Distance Function for Distance-Based Classifiers	claim
46	96	Lattice Independent Component Analysis for fMRI Analysis	claim
47	91	Pattern Identification by Committee of Potts Perceptrons	claim
48	88	Statistical Instance-Based Ensemble Pruning for Multi-class Problems	claim
49	84	Structural Analysis on STDP Neural Networks Using Complex Network Theory	claim

Sciweavers

Explore & Download

Productivity Tools

Document Tools

Image Tools

Sciweavers