Sciweavers

18 search results - page 2 / 4
» Selection of important input variables for RBF network using...
Sort
View
ISNN
2005
Springer
13 years 11 months ago
Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree
Current Intrusion Detection Systems (IDS) examine all data features to detect intrusion or misuse patterns. Some of the features may be redundant or contribute little (if anything)...
Yuehui Chen, Ajith Abraham, Ju Yang
ESANN
2006
13 years 7 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
BIRD
2008
Springer
141views Bioinformatics» more  BIRD 2008»
13 years 8 months ago
Nested q-Partial Graphs for Genetic Network Inference from "Small n, Large p" Microarray Data
Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Kevin Kontos, Gianluca Bontempi
IJCNN
2007
IEEE
14 years 8 days ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
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
ARVLSI
1999
IEEE
162views VLSI» more  ARVLSI 1999»
13 years 10 months ago
Conjunction Search Using a 1-D, Analog VLSI-based, Attentional Search/Tracking Chip
The ability of animals to select a limited region of sensory space for scrutiny is an important factor in dealing with cluttered or complex sensory environments. Such an attention...
Timothy K. Horiuchi, Ernst Niebur