Search results for "Andrew Skabar"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
1	Khaled Abdalgader, Andrew Skabar	Short-Text Similarity Measurement Using Word Sense Disambiguation and Synonym Expansion.	Australasian Conference on Artificial Intelligence	2010	DBLP DOI BibTeX RDF
1	Andrew Skabar, Khaled Abdalgader	Improving Sentence Similarity Measurement by Incorporating Sentential Word Importance.	Australasian Conference on Artificial Intelligence	2010	DBLP DOI BibTeX RDF
1	Andrew Skabar, Shahmeer Memon	Density estimation-based document categorization using von Mises-Fisher kernels.	IJCNN	2010	DBLP DOI BibTeX RDF
1	Binh Nguyen, Andrew Skabar	Evolutionary Intelligence and Communication in Societies of Virtually Embodied Agents.	ACAL	2009	DBLP DOI BibTeX RDF	emergent culture and language, evolutionary biology and psychology, artificial life, embodiment, context recognition, symbol grounding
1	Andrew Skabar	Lag-Dependent Regularization for MLPs Applied to Financial Time Series Forecasting Tasks.	ICCS	2009	DBLP DOI BibTeX RDF	weight regularization, Multilayer perceptrons, financial time series forecasting
1	Andrew Skabar	A Kernel-Based Technique for Direction-of-Change Financial Time Series Forecasting.	ICCS	2008	DBLP DOI BibTeX RDF	kernel methods, Financial time series forecasting
1	Andrew Skabar	Direction-of-Change Financial Time Series Forecasting Using Neural Networks: A Bayesian Approach.	World Congress on Engineering (Selected Papers)	2008	DBLP DOI BibTeX RDF
1	Andrew Skabar, Narendra Juneja	A Kernel-Based Method for Semi-Supervised Learning.	ACIS-ICIS	2007	DBLP DOI BibTeX RDF
1	Andrew Skabar, Dennis Wollersheim, Tim Whitfort	Multi-label Classification of Gene Function using MLPs.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Andrew Skabar	Application of Bayesian Techniques for MLPs to Financial Time Series Forecasting.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
1	Andrew Skabar	Automatic MLP Weight Regularization on Mineralization Prediction Tasks.	KES	2005	DBLP DOI BibTeX RDF
1	Andrew Skabar	Application of Bayesian MLP Techniques to Predicting Mineralization Potential from Geoscientific Data.	ICANN	2005	DBLP DOI BibTeX RDF
1	Andrew Skabar	Comparison of MLP and Bayesian Approaches on Mineral Prospectivity Mapping Tasks.	IC-AI	2004	DBLP BibTeX RDF
1	Andrew Skabar	An Objective Function Based on Bayesian Likelihoods of Necessity and Sufficiency For Concept Learning in the Absence of Labeled Counter-Examples.	IC-AI	2004	DBLP BibTeX RDF
1	Andrew Skabar	Predicting the Distribution of Discrete Spatial Events Using Artificial Neural Networks.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF
1	Andrew Skabar	Single-Class Classification Augmented with Unlabeled Data: A Symbolic Approach.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF
1	Andrew Skabar	A GA-based Neural Network Weight Optimization Technique for Semi-Supervised Classifier Learning.	HIS	2003	DBLP BibTeX RDF
1	Andrew Skabar	Augmenting Supervised Neural Classifier Training Using a Corpus of Unlabeled Data.	KI	2002	DBLP DOI BibTeX RDF
1	Andrew Skabar, Ian Cloete	Neural Networks and Financial Trading and the Efficient Markets Hypothesis.	ACSC	2002	DBLP BibTeX RDF
1	Andrew Skabar, Anthony J. Maeder, Binh Pham	A Classifier Fitness Measure Based on Bayesian Likelihoods: An Approach to the Problem of Learning from Positives Only.	PRICAI	2000	DBLP DOI BibTeX RDF
1	Andrew Skabar, Kousick Biswas, Binh Pham, Anthony J. Maeder	Inductive Concept Learning in the Absence of Labeled Counter-Examples.	ACSC	2000	DBLP DOI BibTeX RDF	Clustering, Machine Learning, Classification, Concept learning

Publications of "Andrew Skabar" ( http://dblp.L3S.de/Authors/Andrew_Skabar )