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01/28/2022
A Simple Guard for Learned Optimizers
If the trend of learned components eventually outperforming their hand-c...
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12/03/2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication)
In this work, we propose a novel memory-based multi-agent meta-learning ...
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03/20/2019
ToyArchitecture: Unsupervised Learning of Interpretable Models of the World
Research in Artificial Intelligence (AI) has focused mostly on two extre...
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08/17/2017
General AI Challenge - Round One: Gradual Learning
The General AI Challenge is an initiative to encourage the wider artific...
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11/02/2016
A Framework for Searching for General Artificial Intelligence
There is a significant lack of unified approaches to building generally ...
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08/05/2016
Self-Organising Maps in Computer Security
Some argue that biologically inspired algorithms are the future of solvi...
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05/31/2013
Wavelet feature extraction and genetic algorithm for biomarker detection in colorectal cancer data
Biomarkers which predict patient's survival can play an important role i...
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05/31/2013
Privileged Information for Data Clustering
Many machine learning algorithms assume that all input samples are indep...
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06/08/2010
ToLeRating UR-STD
A new emerging paradigm of Uncertain Risk of Suspicion, Threat and Dange...
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06/08/2010
The DCA:SOMe Comparison A comparative study between two biologically-inspired algorithms
The Dendritic Cell Algorithm (DCA) is an immune-inspired algorithm, deve...
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04/23/2010
STORM - A Novel Information Fusion and Cluster Interpretation Technique
Analysis of data without labels is commonly subject to scrutiny by unsup...
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02/02/2010
Detecting Motifs in System Call Sequences
The search for patterns or motifs in data represents an area of key inte...
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10/28/2009