McCreath, Eric Charles - Department of Computer Science, Australian National University

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McCreath, Eric Charles - Department of Computer Science, Australian National University

ILP with Noise and Fixed Example Size: A Bayesian Approach Eric McCreath \Lambda and Arun Sharma y
School of Computer Science College of Engineering and
Using Learning to Improve the Computational Performance of the
A Noise Resistant Model Inference System Eric McCreath and Mark Reid
Induction in First Order Logic from Noisy Training Examples and Fixed Example Set Sizes
Inducing Shortcuts on a Mobile Phone Interface Robert Bridle
Improving the Mobile Phone Habitat -Learning Changes in User's Profiles
SHYSTER-MYCIN: A Hybrid Legal Expert System Thomas A. O'Callaghan
An Intelligent Interface for Sorting Electronic Mail Elisabeth Crawford
Iems: helping users manage email. Eric McCreath 1 and Judy Kay 2
Lime: A System for Learning Relations Eric McCreath ;? and Arun Sharma ;??
A Probabilistic Identi cation Result Eric McCreath
TR-CS-03-01 Building and Testing the
A lockless pagecache in Linux Nick Piggin
IEMS -The Intelligent Email Sorter Elisabeth Crawford ecrawfor@it.usyd.edu.au
Extraction of MetaKnowledge to Restrict the Hypothesis Space for ILP Systems
Automatic Induction of Rules for e-mail Classi cation Elisabeth Crawford
IEMS -an approach that combines hand crafted rules with learnt instance based rules
The Fast Multipole Algorithm on the Cell Broadband Engine Architecture
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A Corpus of Australian Contract Language Description, Profiling and Analysis
Fast On-line Statistical Learning on a GPGPU FangZhou Xiao1 Eric McCreath1 Christfried Webers1,2
Dr Eric Charles McCreath --CV 2011 Research School of Computer Science