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Now showing items 11-20 of 20
Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images
(2005)
This paper investigates the use of machine learning classification techniques applied to the task of recognising the make and model of vehicles. Although a number of vehicle classification systems already exist, most of ...
Arrhythmia Identification from ECG Signals with a Neural Network Classifier Based on a Bayesian Framework
(2004)
This paper presents an ANN-based diagnostic system for arrhythmia using Neural Network Classifier with Bayesian framework by time series biosignals. The Neural Network Classifier is built by the use of logistic regression ...
Analysis of the Effects of Unexpected Outliers in the Classification of Spectroscopy Data
(2009)
Multi-class classification algorithms are very widely used, but we argue that they are not always ideal from a theoretical perspective, because they assume all classes are characterised by the data, whereas in many ...
Neural Network Approach to Predicting Stock Exchange Movements using External Factors
(2005)
The aim of this study is to evaluate the effectiveness of using external indicators, such as commodity prices and currency exchange rates, in predicting movements in the Dow Jones Industrial Average index. The performance ...
A Machine Learning Application for Classification of Chemical Spectra
(2008)
This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ...
One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation
(2007)
Abstract. Population-based search methods such as evolutionary algorithms, shuffled complex algorithms, simulated annealing and ant colony search are increasingly used as automatic calibration methods ...
A survey of recent trends in one class classification
(Springer Verlag - LNAI, 2009-08)
The One Class Classification (OCC) problem is di fferent
from the conventional binary/multi-class classi fication problem in the
sense that in OCC, the negative class is either not present or not properly sampled. The ...
The WCC Heuristic Evaluation Set - A Methodology for Evaluating the Usability of Web Communication and Collaboration (WCC) Groupware in Teaching and Learning.
(EdTech, 2007)
A growing number of workplaces and educational environments are implementing virtual teams (VTs) or intend to in the future, and it is likely that most information workers will become part of a virtual team at some stage ...
A Comparison of Petri Net and System Dynamics Approaches for Modelling Dynamic Feedback Systems
(2006)
Petri nets are a valuable tool that can be used to simulate workflow systems. They are
based on a state-transition approach, and in common with discrete event simulation,
events can be scheduled to fire at different time ...
An evolutionary approach to automatic kernel construction
(2006)
Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ...