Andrew Skabar

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Neural Networks and Financial Trading and the Efficient Markets Hypothesis

The efficient markets hypothesis asserts that the price of an asset reflects all of the information that can be obtained from past prices of the asset. A direct corollary of this hypothesis is that… (More)

The process of identifying the actual meanings of words in a given text fragment has a long history in the field of computational linguistics. Due to its importance in understanding the semantics of… (More)

Clustering Sentence-Level Text Using a Novel Fuzzy Relational Clustering Algorithm

Andrew Skabar, Khaled Abdalgader
IEEE Transactions on Knowledge and Data…
2013

In comparison with hard clustering methods, in which a pattern belongs to a single cluster, fuzzy clustering algorithms allow patterns to belong to all clusters with differing degrees of membership.… (More)

Multi-label Classification of Gene Function using MLPs

Andrew Skabar, Dennis Wollersheim, Tim Whitfort
The IEEE International Joint Conference on…
2006

This paper describes how a single multi-output MLP can be applied to multi-label classification tasks, and reports on the application of the technique to predicting gene function for arabidopsis - a… (More)

Khaled Abdalgader, Andrew Skabar
Australasian Conference on Artificial…
2010

Measuring the similarity between text fragments at the sentence level is made difficult by the fact that two sentences that are semantically related may not contain any words in common. This means… (More)

Clustering Mixed-Attribute Data using Random Walk

Andrew Skabar
2017

Single-Class Classification Augmented with Unlabeled Data: A Symbolic Approach

Andrew Skabar
Australian Conference on Artificial Intelligence
2003

Random vector generation from mixed-attribute datasets using random walk

Andrew Skabar
Winter Simulation Conference (WSC)
2016

Given data in a matrix X in which rows represent vectors and columns comprise a mix of discrete and continuous variables, the method presented in this paper can be used to generate random vectors… (More)

A Classifier Fitness Measure Based on Bayesian Likelihoods: An Approach to the Problem of Learning from Positives Only

Andrew Skabar, Anthony J. Maeder, Binh Pham
PRICAI
2000

Density estimation-based document categorization using von Mises-Fisher kernels

Andrew Skabar, Shahmeer Memon
The International Joint Conference on Neural…
2010

Although classifiers such as Support Vector Machines (SVMs) and k Nearest Neighbors (kNN) are able to achieve excellent document classification performance as measured by common information retrieval… (More)

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