Browsing by Author "Foulds, James Richard"
Now showing items 1-5 of 6
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Bridge lane direction specifications for sustainable traffic management
(World Scientific Publishing, 2006)We present a deterministic model that specifies lane direction in a multi-laned bridge that has a movable barrier that divides the two directions of traffic flow, in order to reduce congestion. A probabilistic dynamic ... -
Learning Instance Weights in Multi-Instance Learning
(The University of Waikato, 2008)Multi-instance (MI) learning is a variant of supervised machine learning, where each learning example contains a bag of instances instead of just a single feature vector. MI learning has applications in areas such as drug ... -
A probabilistic dynamic programming model of rape seed harvesting
(Inderscience, 2006)We discuss a practical scenario from an operations scheduling viewpoint involving commercial contracting enterprises that visit farms in order to harvest rape seed crops. We report on a probabilistic dynamic programming ... -
A review of multi-instance learning assumptions
(Cambridge University Press, 2010)Multi-instance (MI) learning is a variant of inductive machine learning, where each learning example contains a bag of instances instead of a single feature vector. The term commonly refers to the supervised setting, where ... -
Revisiting multiple-instance learning via embedded instance selection
(Springer, 2008)Multiple-Instance Learning via Embedded Instance Selection (MILES) is a recently proposed multiple-instance (MI) classification algorithm that applies a single-instance base learner to a propositionalized version of MI ...
