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Events, Interest, Segmentation, Binding and Hierarchy

AAAI Conferences

We advocate the position that unsupervised learning of rich representations requires careful consideration of an issue that usually receives only cursory attention: The definition of a statistical ‘event’, or ‘sample’.  Data sets are presumed to have been generated by sampling from some probability distribution that is to be estimated, but there is no general canonical way to select a model for a given data set and define the correspondence between the various components of its joint random variable and particular subsets, or more generally, features, of the data.  Any attempt to automate this choice must confront the fact that without a definition of ‘event’, this exercise cannot be formulated as a statistical learning problem.  We introduce two supplementary criteria, information at a distance and information contrast , in order to clear this impasse, and show anecdotal results from using each.  We argue that this issue also arises (whether recognized or not) in automated learning of feature hierarchies to form a rich representations, because distinct events are selected at one level of the hierarchy and bound together to form joint events at the next level.


UK Opposition Seeks Binding Promise on Post-Brexit Northern Ireland Border

U.S. News

Ahead of a speech on Monday in which he will accuse ministers of backsliding, he said the Labour Party would put forward a proposed change to Brexit legislation currently going through parliament to make sure the government keeps to its promises on Northern Ireland.


Plastic crisis needs binding treaty, report says

BBC News

She said: "The question now is, what will that treaty look like? Will there be a weak form that focuses on marine litter and waste management? Or will there be a resolution that includes the full life cycle of plastics including extraction and production right through to remediation of legacy pollution?"


Bindings & Libraries BigML.com

#artificialintelligence

BigML bindings allow you to easily create, configure and efficiently manage all your BigML resources and Machine Learning workflows.


Utilizing lime: Asynchronous Binding

Neural Information Processing Systems

A binding problem occurs when two different events (or objects) are represented identically. For example, representing "John hit Ted" by activating the units JOHN, HIT, and TED would lead to a binding problem because the same pattern of activation would also be used to represent "Ted hit John". The binding problem is ubiquitous and is a concern whenever internal representations are postulated. In addition to guarding against the binding problem, an effective binding mechanism must construct representations that assist processing. For instance, different states of the world must be represented in a manner that assists in discovering commonalities between disparate states, allowing for category formation and analogical processing.