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A Remote Sensing Method to Monitor Water, Aquatic Vegetation, and Invasive Water Hyacinth at National Extents
Diverse freshwater biological communities are threatened by invasive aquatic alien plant (IAAP) invasions and consequently, cost …
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Learning the Influence Between Partially Observable Processes Using Score-based Structure Learning
The difficulty of learning the underlying structure between processes is a common task found throughout the sciences, however not much …
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If Dropout Limits Trainable Depth, Does Critical Initialisation Still Matter? A Large-scale Statistical Analysis on ReLU Networks
Recent work in signal propagation theory has shown that dropout limits the depth to which information can propagate through a neural …
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Applying a Principle of Explicability to AI Research in Africa: Should we do it?
Developing and implementing artificial intelligence (AI) systems in an ethical manner faces several challenges specific to the kind of …
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A Review of Robotics Research in South Africa
Robots are increasingly being used in the industry. Businesses that use robots can produce products and provide services at lower costs …
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Symbol Emergence in Cognitive Developmental Systems: A Survey
Humans use signs, e.g., sentences in a spoken language, for communication and thought. Hence, symbol systems like language are crucial …
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A Non-linear Manifold Alignment Approach to Robot Learning from Demonstrations
The number and variety of robots active in real-world environments are growing, as well as the skills they are expected to acquire, and …
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Bayesian Policy Reuse
A long-lived autonomous agent should be able to respond online to novel instances of tasks from a familiar domain. Acting online …
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Action Priors for Learning Domain Invariances
An agent tasked with solving a number of different decision making problems in similar environments has an opportunity to learn over a …
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Clustering markov decision processes for continual transfer
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